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Page 1Magic Quadrant for Data Integration Tools
9/3/2013 5:37:12 PMhttp://www.gartner.com/technology/reprints.do?id=1-1HASRBP&ct=130717&st=sb
Magic Quadrant for Data Integration Tools
17 July 2013 ID:G00248961
Analyst(s): Eric Thoo, Ted Friedman, Mark A. Beyer
VIEW SUMMARY
Opportunities in the data integration tool market favor breadth of functionality in a well-integrated
product set. Offerings that are flexible with regard to time to value, broad applicability, cost over value
and data management synergy harness market momentum to capitalize on demand trends.
Market Definition/Description
The data integration tool market comprises vendors that offer software products to enable the
construction and implementation of data access and data delivery infrastructure for a variety of data
integration scenarios, including:
Data acquisition for business intelligence (BI), analytics and data warehousing:
Extracting data from operational systems, transforming and merging that data, and delivering it
to integrated data structures for analytics purposes. BI and data warehousing remain mainstays
of the demand for data integration tools. The variety of data and context for analytics is
expanding as emergent repositories, such as Hadoop distributions for supporting big data, in-
memory database management systems (DBMSs), and logical data warehouse architectures,
increasingly become parts of the information infrastructure.
Consolidation and delivery of master data in support of master data management
(MDM): Enabling the consolidation and rationalization of the data representing critical business
entities, such as customers, products and employees. MDM may or may not be subject-based,
and data integration tools can be used to build the data consolidation and synchronization
processes that are key to success.
Data migrations/conversions: Although traditionally addressed most often via the custom
coding of conversion programs, data integration tools are increasingly addressing the data
movement and transformation challenges inherent in the replacement of legacy applications and
consolidation efforts during mergers and acquisitions.
Synchronization of data between operational applications: In a similar concept to each of
the previous scenarios, data integration tools provide the ability to ensure database-level
consistency across applications, both on an internal and an interenterprise basis (for example,
involving data structures for software as a service [SaaS] applications or cloud-resident data
sources), and in a bidirectional or unidirectional manner.
Interenterprise data sharing: Organizations are increasingly required to provide data to, and
receive data from, external trading partners (customers, suppliers, business partners and others)
. Data integration tools are relevant in addressing these challenges, which often consist of the
same types of data access, transformation and movement components found in other common
use cases.
Delivery of data services in a service-oriented architecture (SOA) context: An
architectural technique, rather than a use of data integration itself, data services represent an
emerging trend for the role and implementation of data integration capabilities within SOAs. Data
integration tools will increasingly enable the delivery of many types of data services.
Gartner has defined multiple classes of functional capability that vendors of data integration tools
provide to deliver optimal value to organizations in support of a full range of data integration
scenarios:
Connectivity/adapter capabilities (data source and target support): The ability to
interact with a range of different types of data structure, including:
Relational databases
Legacy and nonrelational databases
Various file formats
XML
Packaged applications, such as CRM and supply chain management
SaaS and cloud-based applications and sources
Industry-standard message formats, such as electronic data interchange (EDI), Swift and
Health Level Seven International (HL7)
Externalized parallel distributed processing (such as Hadoop Distributed File System [HDFS]
and other NoSQL-type repositories)
EVIDENCE
The analysis in this research is based on information
from a number of sources, including, but not limited
to:
Extensive data on functional capabilities,
customer base demographics, financial status,
pricing and other quantitative attributes gained
via an RFI process engaging vendors in this
market.
Interactive briefings in which the vendors
provided Gartner with updates on their strategy,
market positioning, recent key developments and
product road map.
A Web-based survey of reference customers
provided by each vendor, which captured data on
usage patterns, levels of satisfaction with major
product functionality categories, various
nontechnology vendor attributes (such as pricing,
product support and overall service delivery) and
more. In total, 345 organizations across all major
world regions provided input on their experiences
with vendors and tools in this manner.
Feedback about tools and vendors captured during
conversations with users of Gartner's client
inquiry service.
Market share estimates developed by Gartner's
Technology and Service Provider research unit.
EVAL UAT IO N CRITERIA DEFINIT IO NS
Ability to Execute
Product/Service: Core goods and services offered by
the vendor that compete in/serve the defined market.
This includes current product/service capabilities,
quality, feature sets, skills, etc., whether offered
natively or through OEM agreements/partnerships as
defined in the market definition and detailed in the
subcriteria.
Overall Viability (Business Unit, Financial,
Strategy, Organization): Viability includes an
assessment of the overall organization's financial
health, the financial and practical success of the
business unit, and the likelihood of the individual
business unit to continue investing in the product, to
continue offering the product and to advance the state
of the art within the organization's portfolio of
products.
Sales Execution/Pricing: The vendor's capabilities
in all pre-sales activities and the structure that
supports them. This includes deal management,
pricing and negotiation, pre-sales support and the
overall effectiveness of the sales channel.
Market Responsiveness and Track Record: Ability
to respond, change direction, be flexible and achieve
competitive success as opportunities develop,
competitors act, customer needs evolve and market
dynamics change. This criterion also considers the
vendor's history of responsiveness.
Marketing Execution: The clarity, quality, creativity
and efficacy of programs designed to deliver the
organization's message in order to influence the
market, promote the brand and business, increase
awareness of the products, and establish a positive
identification with the product/brand and organization
in the minds of buyers. This "mind share" can be
driven by a combination of publicity, promotional,
thought leadership, word-of-mouth and sales
activities.
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Message queues, including those provided by application integration middleware products
and standards-based products (such as Java Message Service [JMS])
Data types of a less structured nature, such as social media, email, websites, office
productivity tools and content repositories
Emergent sources, such as data on in-memory DBMSs, mobile platforms and spatial
applications
Data integration tools must support different modes of interaction with this range of data
structure types, including:
Bulk acquisition and delivery
Granular trickle-feed acquisition and delivery
Changed data capture (CDC) — the ability to identify and extract modified data
Event-based acquisition (time-based or data-value-based)
Data delivery capabilities: The ability to provide data to consuming applications, processes
and databases in a variety of modes, including:
Physical bulk data movement between data repositories
Federated views formulated in memory
Message-oriented movement via encapsulation
Replication of data between homogeneous or heterogeneous DBMSs and schemas
In addition, support for the delivery of data across the range of latency requirements is
important, including:
Scheduled batch delivery
Streaming/near-real-time delivery
Event-driven delivery of data based on identification of a relevant event
Data transformation capabilities: Built-in capabilities for achieving data transformation
operations of varying complexity, including:
Basic transformations, such as data type conversions, string manipulations and simple
calculations
Intermediate-complexity transformations, such as lookup and replace operations,
aggregations, summarizations, deterministic matching, and the management of slowly
changing dimensions
Complex transformations, such as sophisticated parsing operations on free-form text and
rich media
In addition, the tools must provide facilities for developing custom transformations and
extending packaged transformations.
Metadata and data modeling capabilities: As the increasingly important heart of data
integration capabilities, metadata management and data modeling requirements include:
Automated discovery and acquisition of metadata from data sources, applications and other
tools
Discerning relationship between data models and business process models
Data model creation and maintenance
Physical to logical model mapping and rationalization
Defining model-to-model relationships via graphical attribute-level mapping
Lineage and impact analysis reporting, via graphical and tabular format
An open metadata repository, with the ability to share metadata bidirectionally with other
tools
Automated synchronization of metadata across multiple instances of the tools
Ability to extend the metadata repository with customer-defined metadata attributes and
relationships
Documentation of project/program delivery definitions and design principles in support of
requirements definition activities
Business analyst/end-user interface to view and work with metadata
Design and development environment capabilities: Facilities for enabling the specification
and construction of data integration processes, including:
Graphical representation of repository objects, data models and data flows
Workflow management for the development process, addressing requirements such as
approvals and promotions
Granular, role-based and developer-based security
Team-based development capabilities, such as version control and collaboration
Functionality to support reuse across developers and projects, and to facilitate the
identification of redundancies
Support for testing and debugging
Data governance support capabilities (via interoperation with data quality, profiling
and mining capabilities): Mechanisms to work with related capabilities to help the
understanding and assurance of data quality over time, including interoperability with:
Data profiling tools
Data mining tools
Data quality tools
Customer Experience: Relationships, products and
services/programs that enable clients to be successful
with the products evaluated. Specifically, this includes
the ways customers receive technical support or
account support. This can also include ancillary tools,
customer support programs (and the quality thereof),
availability of user groups, service-level agreements,
etc.
Operations: The ability of the organization to meet
its goals and commitments. Factors include the
quality of the organizational structure including skills,
experiences, programs, systems and other vehicles
that enable the organization to operate effectively and
efficiently on an ongoing basis.
Completeness of Vision
Market Understanding: Ability of the vendor to
understand buyers' wants and needs and to translate
those into products and services. Vendors that show
the highest degree of vision listen and understand
buyers' wants and needs, and can shape or enhance
those with their added vision.
Marketing Strategy: A clear, differentiated set of
messages consistently communicated throughout the
organization and externalized through the website,
advertising, customer programs and positioning
statements.
Sales Strategy: The strategy for selling product that
uses the appropriate network of direct and indirect
sales, marketing, service and communication affiliates
that extend the scope and depth of market reach,
skills, expertise, technologies, services and the
customer base.
Offering (Product) Strategy: The vendor's approach
to product development and delivery that emphasizes
differentiation, functionality, methodology and feature
set as they map to current and future requirements.
Business Model: The soundness and logic of the
vendor's underlying business proposition.
Vertical/Industry Strategy: The vendor's strategy
to direct resources, skills and offerings to meet the
specific needs of individual market segments,
including verticals.
Innovation: Direct, related, complementary and
synergistic layouts of resources, expertise or capital
for investment, consolidation, defensive or pre-
emptive purposes.
Geographic Strategy: The vendor's strategy to
direct resources, skills and offerings to meet the
specific needs of geographies outside the "home" or
native geography, either directly or through partners,
channels and subsidiaries as appropriate for that
geography and market.
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Deployment options and runtime platform capabilities: Breadth of support for the
hardware and operating systems on which data integration processes may be deployed, and the
choices of delivery model; specifically:
Mainframe environments, such as IBM z/OS and z/Linux
Midrange environments, such as IBM System i (formerly AS/400) or HP Tandem
Unix-based environments
Windows environments
Linux environments
Traditional on-premises (at the customer site) installation and deployment of software
Cloud deployment support as a multitenant implementation but requires organizations
deploy software in cloud infrastructure
Platform as a service (provided and consumed as a cloud service where clients don't need to
deploy software in cloud infrastructure)
In-memory infrastructure
Server virtualization (support for shared, virtualized implementations)
Parallel distributed processing (such as Hadoop and MapReduce)
Operations and administration capabilities: Facilities for enabling adequate ongoing
support, management, monitoring and control of the data integration processes implemented via
the tools, such as:
Error handling functionality, both predefined and customizable
Monitoring and control of runtime processes, both via functionality in the tools and
interoperability with other IT operations technologies
Collection of runtime statistics to determine use and efficiency, as well as an application-
style interface for visualization and evaluation
Security controls, for both data in flight and administrator processes
A runtime architecture that ensures performance and scalability
Architecture and integration capabilities: The degree of commonality, consistency and
interoperability between the various components of the data integration toolset, including:
A minimal number of products (ideally one) supporting all data delivery modes
Common metadata (a single repository) and/or the ability to share metadata across all
components and data delivery modes
A common design environment to support all data delivery modes
The ability to switch seamlessly and transparently between delivery modes (bulk/batch vs.
granular real-time vs. federation) with minimal rework
Interoperability with other integration tools and applications, via certified interfaces and
robust APIs
Efficient support for all data delivery modes, regardless of runtime architecture type
(centralized server engine versus distributed runtime)
Service enablement capabilities: As acceptance of data service concepts continues to grow,
data integration tools must exhibit service-oriented characteristics and provide support for SOA
deployments, such as:
The ability to deploy all aspects of runtime functionality as data services
Management of publication and testing of data services
Interaction with service repositories and registries
Service enablement of development and administration environments, so that external tools
and applications can dynamically modify and control the runtime behavior of the tools
Return to Top
Magic Quadrant
Figure 1. Magic Quadrant for Data Integration Tools
Page 4Magic Quadrant for Data Integration Tools
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Source: Gartner (July 2013)
Return to Top
Vendor Strengths and Cautions
Actian-Pervasive Software
Located in Redwood City, California, Actian acquired Pervasive Software in April 2013 and offers the
following data integration products: Data Integrator, DataCloud and DataRush. The vendor's customer
base for this product set is estimated at more than 6,000 companies.
Strengths
Long pedigree of targeted offerings: Actian-Pervasive has been an active participant in the
data integration tool market for a long time, beginning in 1982. By staying focused on targeted
aspects of the overall data integration market, Actian-Pervasive offers real-time messaging-style
solutions and bulk/batch-oriented data delivery. Customers like the diverse connectivity for data
sources and targets, and the support for industry-standard message formats. Additionally, the
DataRush technology continuously scores data for existing analysis as it moves through a data
service bus in enabling rapid assignment of each new data point to analytic outcomes.
Growing resources: Actian's acquisition of Pervasive provides significantly larger financial
resource potential for further enhancement of Data Integrator. Additionally, the capabilities in
Actian's global reach are significantly greater than Pervasive. At the same time, Actian has begun
expanding its EMEA presence to further enhance its larger corporate global reach.
Easily embedded and complementary solutions: Actian-Pervasive has been able to develop
some meaningful, patented technology that generally enhances a position to embed its data
integration solutions within other technology solutions. Customers report the two most significant
strengths are the small footprint and the wide array of connectors/adapters that result in a wide
array of solution-oriented benefits. One benefit directly attributable to connectivity and footprint
is the ease with which Data Integrator is embedded in other solutions, in the offerings of
independent software vendors (ISVs) and for modernizing on-premises legacy implementations.
A second benefit is cited by customers in leveraging the product's ability to address performance
requirements for high data throughput.
Cautions
Continuing with management continuity: The acquisition makes sense for Actian, which also
recently acquired ParAccel. In combination with its Action Apps strategy (embedded analytics
reflecting data changes), the Pervasive acquisition and the long-standing Pervasive business
model for embedding its offerings make sense for Actian. Pervasive's acquisition was unwelcome
in the beginning, although there were initial indications that Pervasive staff were pleased with
the access to broader and deeper resources, and public announcements were used to expose the
effort to put pressure on the Board and Officers of Pervasive. Importantly, key personnel have
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been retained up to this point, but Actian must be persistent and consistent in retaining valuable
talent while carefully addressing redundant positions. Redundant positions do not equal
redundant people.
Upgrade and deployment experiences: Customers readily point out that there are issues in
migrating between versions. Specifically, customers call out that the repositories are not entirely
compatible and that new features are not always market-ready (for example, bugs and issues
were reported regarding iHub in version 9 and iHub being replaced with new functionality in
version 10; other customers reported an almost pendulum effect of a stabilizing release followed
by a next release that removed functionality). Actian-Pervasive indicates that the upgrade to
version 10 was significant, which explains upgrade difficulties cited in customer experiences when
requiring assistance. Many respondents also reported that the interface is aging (even version
10), and is sometimes lacking functionality and does not support the development of cross-
platform deployments very well.
Uneven documentation, uneven learning curve: Many customers report issues with
documentation and a lack of communication and coordination for upgrade support and bug fixes.
Customer reviews are largely lacking in comments about professional services quality, with only
minor comments that they need to improve. Considering the learning curve and documentation
in combination, customers report that developers do not find online help or built-in help very
useful, and this forces developers to determine their own best practices, which further extends
the learning curve for the tools. A small number of customers hope the new user community will
provide a better resource in this area.
Return to Top
Adeptia
Located in Chicago, Adeptia offers the Adeptia Enterprise Business Integration Management (EBIM)
Suite. The vendor's data integration tool customer base is estimated at more than 380 companies.
Strengths
Coverage of core capabilities: Adeptia supports the core requirements in the breadth of
connectivity and adapters, bulk/batch data delivery, and granular data capture and propagation.
Reference customers identify the strength of its ease of use, and the tool's ability to support
business personnel's participation in building and maintaining integration processes suited to
their specific needs as key points of value.
Integrated product offering: Adeptia provides its range of data integration functions in a
single tool suite, which reduces the complexity for buyers and streamlines the process for
supporting integration activities and processes, such as data mapping, flow design and shared
data definitions across use cases.
Spans both data integration and application integration: Through a multidisciplinary tool
platform, Adeptia's EBIM Suite provides a single environment for data integration capability
together with the platform's enterprise service bus and business process management functions.
This aligns well with demand trends for supporting data integration activities so that competency
teams can seamlessly implement multiple integration infrastructures in a synergistic way.
Cautions
Recognition and capabilities beyond extraction, transformation and loading (ETL) for
data integration: Adeptia is deployed with a strong bias toward process-oriented bulk/batch and
transactional data movements, and more market experience is needed with other methods of
data integration styles for data delivery. Increasing requirements such as data replication and
synchronization put Adeptia at a competitive disadvantage relative to providers that have a
reputation for addressing a broader range of data integration styles. Adeptia is evaluating a
partnership to provide data replication and synchronization capabilities.
Degree of metadata support: Customer references indicate gaps in various aspects of
Adeptia's metadata management and modeling. Documentation for field definitions is used as
basic references, although implementations increasingly require comprehensive support of
metadata discovery, lineage and dependency reporting, which is of growing importance when
integrating a large volume and diversity of datasets.
Customer support and service experience: While Adeptia's references reflect satisfaction
regarding the perception and price points of the tool, concerns are cited on the quality of support.
Areas of challenges reported include support for issue resolution, product upgrade, initial
installation and setup, and technical help documentation. These are common issues for vendors,
which evolve as growing businesses but are simultaneously challenged to keep up with customer
demand.
Return to Top
Composite Software
Located in San Mateo, California, Composite Software offers the following data integration products:
Composite Data Virtualization Platform (which consists of Composite Information Server, Composite
Discovery and adapters to access data sources), Composite Active Cluster and Composite Discovery.
The vendor's customer base for this product set is estimated at more than 200 companies. At this
writing, Cisco has made an offer to acquire Composite Software, which has accepted the offer, but the
acquisition is underway and not yet completed.
Strengths
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Solid coverage of core capability: Aligned to the rising interest, acceptance and importance of
federation or virtualization to the overall data integration market, Composite Software brings just
over 10 years of research and development and licensed customer experience to bear on the
federation/virtualization aspects of the data integration market. While many early federation
tools struggled and were acquired or went out of business, Composite Software followed a
deliberate and highly targeted approach to the market by first identifying specific niche
fulfillment areas and then developing features and functionality to address specific performance
issues unique to federation, compared with other types of data integration. For example, the use
of multitiered caching to enhance both the design and performance of the federation processing
was focused specifically on the best approach to optimize when to refresh data from sources (all
data has differing refresh rates and thus cache layers do not need to be universally updated at
the same time).
Track record and partner channels: Due to the vendor's longer successful track record in
federation capabilities, it has developed an efficient partnering network, which includes
implementers and other data integration software vendors. HP, Hortonworks, IBM, Infosys,
MicroStrategy and Tibco Software are among Composite Software's active vendor partners, and
include the range of joint marketing to embedded solutions for federation or semantic data
access support. The vendor also has partnerships with Progress Software for Progress Corticon in
its business rule management solution and with BMC for a similar solution that provides
federation or virtual data access to support heterogeneous data access without requiring point-
to-point physical data transformation.
Connectivity support and links to related capabilities: Composite Information Server
supports connectivity to relational databases, prerelational legacy data types, flat files, XML,
packaged application prebuilt access and HDFS. In addition, templates/prebuilds for EDI, HL7,
SWIFT and various XML dialects are available to accelerate connectivity to these source types.
The vendor has partially addressed the frequent challenge to federation technology — output for
point-to-point physical transformation — in two ways. Information Server can output staging files
from its various caching tiers, which can then be used for loading a database (either with further
transformation or simply using bulk loaders from the DBMS). In addition, Information Server, in
its partnership with IBM, can write directly to the Netezza database (using its cache structure as
a database design).
Cautions
Breadth of functionality: As Composite Software's data integration focus is predominantly on
virtual federation of data and limited bulk/batch data delivery support, organizations seeking
providers with a breadth of data integration styles find the product set to be of narrow positioning
relative to competitors in this market. Composite Software is reported as "somewhat heavy" in
its design and deployment of virtual data views. The lack of development workflow management
in the tool and missing data quality prebuilds require that developers be self-managed and aware
of issues that emerge when source data is accessed directly, as well as the types of collisions that
occur and the rationalizations necessary to remedy such situations. Developers should be
accomplished data architects or system analysts who understand the flow of data.
Availability of skill and deployment experience: The vendor's implementation experience
base among its customers is small. As a result, there is a lack of adequately skilled implementers
in the market, and a resultant low volume of commonly understood practices and fixes for
implementation issues. This causes further difficulty as customers report that documentation
(including in-system, context-based documentation) is weak. In the area of support services,
Cisco has a long history of recognition for quality support from independent ratings systems;
however, it is unclear if this will translate to the data management and integration market as the
acquisition moves forward.
Customer experience: Customer support is uneven, with some customers reporting
satisfactory support while others cite frustration with account and monitoring hygiene concerns.
For example, case logs of issues, hot fixes in place, which adapters are in use, etc., result in
wasted time during support contacts. Composite Software recently established a customer
tracking database for issues and issue resolution, but this is a newly deployed support system.
Additionally, system metadata can persist for long periods of time in the operations logs, but the
vendor has not developed any guidelines from its customer base for best practices in this area,
making it sometimes difficult to track issue resolution if the data is not retained. Overall,
however, Composite Software's customers rate the vendor at almost the average scoring for
customer experience, which means these items appear to be symptoms of a small company
becoming larger, and it is only a question of Composite responding with improvements to its
support organization as the customer base grows larger and the use cases become more diverse.
Customers also report that there is some inconsistency between versions, with previous
functionality sometimes limited in subsequent releases (such as reduced Web services support).
Return to Top
IBM
Located in Armonk, New York, IBM offers the following data integration products: IBM InfoSphere
Information Server Enterprise Edition (including InfoSphere Information Server for Data Integration,
InfoSphere Information Server for Data Quality and InfoSphere Business Information Exchange),
InfoSphere DataStage, InfoSphere Federation Server, InfoSphere Data Replication and WebSphere
Cast Iron Cloud Integration. The vendor's customer base for this product set is estimated at
approximately 9,600 companies.
Strengths
Breadth of functionality: IBM provides an extensive range of data integration functionality,
including bulk-batch data movement (ETL), CDC and propagation, data replication, and data
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federation/virtualization. IBM continues to demonstrate a strong vision in the market for
extensive data integration capabilities comprising products sold both independently and in
various InfoSphere Information Server bundles. Reference customers routinely cite as key
strengths (and their reasons for selecting IBM) the sheer breadth of functionality of the vendor's
product set across the range of data integration styles, the degree of integration between the
components of the portfolio via common metadata and the scalability they can achieve in the
face of high-volume requirements.
Installed base and diversity of usage: IBM's tools are often deployed as an enterprisewide
standard, and many customers have significant numbers (10+) of developers using them. The
scope and scale of the implementations is often large. This is reflective of and contributes to the
large and growing pool of skills available to the market. While the customer base shows very
heavy usage in BI/analytics and data warehouse scenarios, reference customers also show
diversity across a range of application types (including MDM, data migration and operational
application integration). During 2012, IBM was able to achieve solid growth of its data integration
tool business, reflecting strong execution.
Alignment with information infrastructure and enterprise information management
(EIM) trends: With the growing activity toward modernization of information infrastructure in
support of EIM goals, IBM's capabilities are well-aligned with the intent of buyers. Customers view
the broad and deep metadata management functionality as critical to the early stages and
ongoing value in their EIM programs, and believe this enables them to derive greater value from
IBM's data integration tools. Version 9.1 of Information Server introduced deeper support for
Hadoop and the new InfoSphere Data Click functionality aimed at enabling power users to
perform self-service data preparation for analytics purposes. The 2013 product road map focuses
on more technical enhancements related to deeper Hadoop and cloud support, as well as
expanded ongoing performance enhancements and integration with other InfoSphere offerings,
such as information life cycle management.
Cautions
Usability challenges: While reference customer feedback shows notable improvement in
satisfaction with overall customer experience relative to prior years, customers continue to cite
complexity, primarily in initial deployment and migrations/upgrades between versions, as
challenging. They want IBM to continue to simplify the tools, increase consistency of user
interface and management capabilities across the product set, and ease the process of
application of fixpacks. Broadly available skills in the market help address some of these
challenges, but IBM must continue to improve here.
Cost model: While customers recognize a reasonable connection between IBM's data integration
tool pricing and anticipated value, reference customers and many prospective customers indicate
that prices can be prohibitive, and their perception is of a high total cost of ownership (TCO) and
sometimes a sense that IBM is proposing solutions with extraneous functionality (particularly
when the customer's needs may be modest in scope and complexity). When prospects eliminate
IBM from competitive evaluations and choose in favor of other vendors, this is by far the most
common reason. IBM's packaging options, including Enterprise and Workgroup editions and data
warehousing offerings, are aimed at mitigating these concerns by providing commonly used
bundles of components for functionality required in a specific use case, and entry-level prices
suitable for smaller customers and implementations.
Balance of emphasis across product set: While the IBM set of offerings in this market is
extensive, the vendor's priorities appear to be heavily oriented toward physical data flow and
predominantly focused on Information Server for Data Integration (InfoSphere DataStage) for
bulk/batch workloads. With the growing interest in logical data warehouse architectures and the
virtualized provisioning of data, the limited emphasis on InfoSphere Federation Server (both in
the product road map and as a significant part of the portfolio in IBM's sales and marketing
execution) represents a gap relative to market demand.
Return to Top
Informatica
Located in Redwood City, California, Informatica offers the following data integration products:
Informatica Platform (including these components: PowerCenter, PowerExchange, Data Services, Data
Replication, Ultra Messaging, B2B Data Exchange and Cloud Data Integration). The vendor's customer
base for this product set is estimated at more than 5,000 companies.
Strengths
Range of functionality across data integration styles: Informatica provides support for all
key data integration styles, including bulk-batch ETL, real-time and granular data flow via CDC/
propagation and replication, data federation/virtualization, and messaging. This range of
functionality aligns well with evolving demands in the data integration tool market. Informatica
continues to develop points of linkage and integration between and across these data integration
styles, enabling customers to leverage them in a synergistic manner. Recent reference customer
interactions reflect deployment of an increasing number of these capabilities and in complex
scenarios. These Informatica deployments tended to involve a broader range of data source
types, a greater diversity of use cases and a wider footprint in the enterprise (63.6% of
customers in the sample indicated their deployments involved six or more business functions)
than most of its competition. In addition, customers indicate a positive perception about
Informatica's vision and direction in the market.
Market presence and proven capabilities: Informatica appears more frequently than any
other vendor on the shortlist of organizations performing competitive evaluations in this market.
The Informatica customer base reflects a diverse set of use cases and a good number of large
deployments in which the vendor is the enterprisewide standard for data integration tooling.
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Reference customers cite the core functionality of the platform (primarily the range of
connectivity, transformation capabilities, scalability and developer productivity), as well as the
great availability of skills, resources and know-how about the vendor's products, as key strengths
and reasons for their ongoing use of the technology. The addition of the PowerCenter Express
offerings, aimed at limited-scale requirements and budget-constrained organizations, should
enable Informatica to expand this presence into newer segments of the market.
Deployment modes and platform support: At the core of Informatica's platform capabilities
and product strategy is the ability to design mapping and transformations centrally and deploy
for execution on many platforms in a seamless manner. Through the architecture Informatica
calls a "virtual data machine" (marketed by the vendor as Vibe), customers can design mappings
and transformations which can then be deployed on runtime platforms of many types (including
emerging big data technologies such as Hadoop) to achieve distributed data integration
processes. Regardless of runtime platform, these processes are based on the same Informatica
skills, development approaches and management/administrative capabilities the customers
already have in place. The same concept applies to cloud-based and hybrid (on-premises and
cloud combinations) deployments. This aligns well with the concept of common (platform-
independent) data integration capabilities required for modern information infrastructures.
Cautions
Customer experience as vendor size and product breadth grows: Customers appreciate
the breadth of capabilities that Informatica has amassed and the vendor's expanding vision for
information infrastructure, but they also note some challenges that these advancements bring.
Recent reference customer interactions indicate a desire for less complex version upgrades and
an overall shorter learning curve. Related to these points, reference customer deployments
indicated an increase in average time to value relative to prior years. Informatica customers
routinely address complex scenarios, which may contribute to this feedback. However, as it
continues to grow its product set and expand its functionality, the vendor must stay focused on
retaining a positive product deployment and management experience for its customers.
Pricing: Informatica's price points and pricing model remain challenges, with many reference
customers in a recent sample and other Informatica customers overall noting them as among the
most significant issues they find in working with the vendor. This includes both the initial cost of
purchasing Informatica's products and the perceived high cost of add-on options, which some
customers cite as an inhibitor for them in adding further functionality. The recent announcement
of PowerCenter Express offerings is a significant move by the vendor to address these issues.
However, for larger enterprises and existing customers, pricing will remain a challenge.
Consistency in sales and marketing execution: Informatica stumbled in 2012 (as evidenced
by below-market-average growth, as well as a decline in software license revenue on a quarterly,
year-over-year comparison basis from 2Q12 through 1Q13). Gartner believes this was the result
of sales execution issues (particularly in Europe) and a marketing and sales focus toward
emerging use cases (for example, big data and cloud), which did not optimally align with the
primary interests of the mainstream of the market. In addition, feedback from Informatica
customers indicates a less stable and consistent sales experience relative to prior years. The
vendor is rebalancing its messaging in 2013, and has made some sales leadership changes. The
1Q13 results moved in a positive direction, and customers and prospects should review
Informatica's latest quarterly results to determine if these changes have contributed to an
ongoing trend of improvements.
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Information Builders
Located in New York, Information Builders offers the following data integration products: iWay Service
Manager, iWay DataMigrator, iWay DataMigrator CDC and iWay Universal Adapter Suite. The vendor's
customer base for this product set is estimated at approximately 650 companies.
Strengths
Range of product functionality: Information Builders offers capabilities in all major data
integration styles, including physical bulk-batch and real-time granular data movement and
delivery (via its DataMigrator ETL tool), message-oriented integration and data federation
(supported by the Service Manager product), and an extensive array of adapters for connectivity
across all common platforms, applications and data sources. This breadth enables the vendor to
support a broad range of use cases and implementations. This is evidenced by data from recent
reference customer interactions, which shows that Information Builders' users are supporting a
much more diverse and balanced set of use cases than most of its competitors, as well as by
customer feedback citing the degree of integration and performance/scalability of the various
products as key strengths.
Alignment with key information infrastructure trends: The breadth of the product portfolio
and Information Builders' experience in deployments of various styles aligns it well with
contemporary trends beyond this specific market. The vendor's strength in SOA and application
integration positions it well as those technology types and disciplines continue to converge with
the data integration space. The addition of data quality and MDM tooling to the portfolio also
enables Information Builders to increasingly position itself as critical to the modern information
infrastructure, where governance of data grows equally important to integration.
BI and analytics platform market presence and customer relations: Information Builders'
long presence and strong brand in the BI and analytics platform market are great strengths in
enabling it to engage both existing customers and prospects. A substantial number of the
vendor's customers indicate their selection of the vendor's data integration tools was strongly
influenced by the fact that they already used other Information Builders products (most often
WebFOCUS). The vendor can continue to use this pull-through sales traction to further improve
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its execution. Regardless of the range of product usage, reference customers often indicate a
close and positive working relationship with the vendor and good perceptions of product cost
relative to value.
Cautions
Product experience and documentation: While reference customers view the range of
functionality and power of Information Builders' products as a strength, many cite product
complexity, a longer learning curve and insufficient documentation as areas in which the vendor
could improve. In addition, customers also occasionally cite challenges with upgrades to new
major releases of the product set, specifically indicating that new versions have been known to
remove fixes applied to previous versions, thereby reintroducing bugs. These issues speak to a
continued need for Information Builders to reduce product complexity, improve training
resources, and increase the focus on quality assurance and release management. The vendor
states that the iWay 7 release is expected to simplify complexity and ease version upgrade issues
moving forward.
Mind share in data integration tool market: While the Information Builders brand is strong
in BI and analytics, the vendor often struggles to gain mind share as an integration generalist.
The vendor appears with low frequency in competitive evaluations, and its data integration tools
often seem to take a lower priority in the messaging and positioning of the vendor. This is also
reflected in the vendor's installed base, where customers often deploy its data integration tools
in support of individual projects, rather than as a broadly used enterprise standard.
Marketing execution and focus: With the current focus of the vendor on growing the data
quality and MDM components of its Information Asset Management Platform offering (the new
name the vendor has given to the collection of its integration products, alongside its former EIM
Suite offerings for data quality and MDM), the vendor must continue to emphasize heavily how
the data integration tooling is critical to enabling infrastructure for any and all information-
related initiatives. This is the mindset customers have when approaching this market, and
Information Builders must, therefore, also focus its sales and marketing activities to capture data
integration opportunities in their own right.
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Microsoft
Located in Redmond, Washington, Microsoft offers the following data integration products: SQL Server
Integration Services (SSIS; offered via its SQL Server DBMS license) and BizTalk Server. The vendor's
customer base for this product set is estimated at more than 13,000 companies.
Strengths
Aligned support of data and process-oriented integration: Offering access to almost any
commercially available relational database source and target as well as supporting ODBC, OLE DB
and text file access, SSIS is most often used to put data into SQL Server, but can also target
these other platforms or environments. Along with BizTalk Server, SSIS integrate data from
business workflows in ERP and other enterprise applications. When used together with SQL
Server StreamInsight, SSIS can read complex events and streaming data for use in data
integration processes. Data quality operations can be embedded in SSIS-driven data integration
processes by using Data Quality Services (DQS) in SQL Server 2012.
Familiar interfaces enable productivity and time to value: When cost is combined with
ease of use (consistently cited by users for four years), it makes it very difficult to choose
another tool once Microsoft SQL Server is already deployed in related use cases, such as data
marts, data warehouses, operational data stores and even application integration services (when
combined with BizTalk Server). In enabling faster time to value using familiar interfaces,
Microsoft aims to enhance the ability of users to perform data mashups using Excel interfaces in
support of user-driven data integration activities, which takes advantage of the underlying
capability of SSIS to access various data sources.
Implementations reinforce low price: As in years past, Microsoft products are among the
most familiar to implementers when considering interfaces, development tools and functionality.
The low-cost footprint continues to be attractive (it is among the very lowest of commercially
available data integration tools). Included with the SQL Server DBMS license and as a solid
contender in the data integration tool market, SSIS presents a de facto choice, unless
consciously eliminated from data integration solutions in organizations already using SQL Server.
The net result is that Microsoft offers a different software model than most enterprise-class
competitors, one that focuses on TCO and ease of use to a much greater extent than their
competitors.
Cautions
Market penetration in enterprise-scale adoptions: Implementations reflect increasing
departmental-level deployments that orientate toward less-sophisticated usage. SQL Server SSIS
is an embedded functionality in SQL Server, and any Microsoft SQL Server customer can utilize
SSIS (and many do). Most customers indicate that SSIS begin as a departmental or project-
based approach. As the product use becomes more pervasive, these customers are then
confronted with trying to standardize their practices among competing approaches. This forms a
barrier to enterprise adoption, and organizations choosing to use SSIS as an enterprise tool
should move away from the usual model of letting Microsoft users deliver unarchitected solutions
in the beginning and instead create standards for deployment very early.
Fragmentation of advanced skill base: Organizations that purchase SQL Server solely to use
SSIS will likely need to utilize professional implementers to help build enterprise-scale solutions.
In part, this is to answer the enterprise-scaling issue already discussed. But, more importantly,
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with a wide availability of highly varied implementation skills in the market, it is difficult to
identify Microsoft best practitioners. Organizations should be aware of the various levels of
Microsoft Professional Certifications and match them with their specific project and enterprise
architecture demands.
Integration and deployment have some challenges: Reference customers report overall
satisfaction with the tools; however, there are specific issues with integrating SSIS with wider
data-management-related technologies and some connectivity issues with more traditional
sources (challenges are cited for AS/400, z/OS and VMS environments). Customers reported a
lack of metadata support as a weakness that affects metadata discovery, lineage and dependency
reporting capabilities. References also expressed that guidelines and approaches for integrating
SSIS with SOA services are difficult to find, much less follow (noting orchestration and job flow
issues).
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Oracle
Located in Redwood Shores, California, Oracle offers the following data integration products: Oracle
Data Integrator (ODI), Oracle Data Service Integrator, Oracle GoldenGate and Oracle Warehouse
Builder (OWB). The vendor's customer base for this product set is estimated at approximately 3,800
companies.
Strengths
Comprehensive functionality and alignment of offerings: Oracle's unified product
development approach for data integration tooling as part of the Oracle Information Management
Strategy offers breadth and depth of functionality and aligns to its broader portfolio of data
management offerings. ODI provides capabilities for bulk/batch data movement, and Oracle
GoldenGate centers on CDC and real-time data delivery. Oracle Data Service Integrator provides
data federation/virtualization capabilities. These primary data integration products, along with
the message-oriented functionality of Oracle WebLogic Suite, enable the vendor to support each
of the major data delivery styles in this market.
Diversity of usage scenarios: ODI and Oracle GoldenGate continue to grow in adoption.
References using ODI like its ease of use and standardization support of reusable artifacts to
improve developers' productivity, aided by knowledge modules and model-driven management of
extensible data flows and mapping. These customers also exhibit a mix of use cases and project
types, with the vast majority using the tools in support of BI, operational data consistency and
data migration. Oracle GoldenGate continues to be cited for its strength in enabling mission-
critical data replication and synchronization in heterogeneous data and application environments.
Aligning to demand, the 12c release of Oracle's product portfolio sets out to enhance product
integration between ODI and Oracle GoldenGate's offerings, optimization of replication workload
through in-memory management, and integrated usage of data integration tooling with data
quality and MDM capabilities.
Wide leverage of application- and data-oriented customer bases: Recognition of Oracle as
a comprehensive provider for potential data integration and other data management functionality
requirements, such as data quality tools and MDM solutions, is cited as a key point of value for
selecting the vendor's tools in this market. Oracle's ability to offer data integration tools in
conjunction with broad application- and data-oriented solutions continues to create opportunities
for adoption. Oracle leverages its market penetration, global presence and proven viability by
cross-selling to its very large application, BI/analytics, DBMS and database appliance customer
bases.
Cautions
Product migration support: The increasing adoption of ODI as a replacement for OWB, due to
OWB's end of life, is raising demand in enterprises for an easier migration path, and the
difficulties of tool migration are cited as a significant challenge. In supporting existing usage and
a phased migration path, runtime execution of OWB processes through the ODI console is
anticipated in the upcoming release of ODI, while Oracle plans to make available a migration
toolkit for supporting the migration of OWB artifacts to ODI.
Interoperability across products: Customers cited desires for greater metadata management
support and simpler ways to achieve interoperability across Oracle's product set, in order to
facilitate seamless use of multiple products to achieve a range of data integration functionality.
Oracle's road map for increasing interchange capabilities that link data federation/virtualization
tooling more closely to the rest of the product set represents an ongoing focus on tightening
product interoperability. With the growing interest in virtualized provisioning of data (such as
logical data warehouse architectures), requirements to seamlessly operate bulk/batch-style data
movements with virtual federation approaches will require increased emphasis, although usage of
Oracle's data federation/virtualization offering remains small relative to major competitors in this
market.
Skills requirements and cost of ownership: A desire for better availability of skilled
resources is cited as a challenge, to help address implementations, both in initial setup
(particularly for complex projects) and in version upgrades and technical integration with other
software in Oracle's product portfolio. Satisfaction with Oracle's pricing method and perception of
value relative to cost are reported as relatively low, compared with most of its competitors.
Concerns with increased efforts to interoperate multiple products generate perceptions of
escalating implementation costs in achieving various required functionality.
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SAP
Located in Walldorf, Germany, SAP offers the following data integration products: SAP Data Integrator,
SAP Data Services, SAP NetWeaver Process Orchestration, SAP Sybase Replication Server and SAP
Hana Cloud Integration for Data Services. The vendor's customer base for this product set is
estimated at more than 11,000 companies.
Strengths
Breadth of functionality: The breadth of functionality available across SAP's portfolio
addresses a wide range of data delivery styles, and positions data integration tooling in synergy
with SAP's data quality and MDM offering, which aligns well with demands. The breadth of data
integration functionality spans bulk-batch ETL, data federation, message-oriented data delivery
and CDC/replication. The combination of these capabilities allows the vendor to attract customers
seeking support for a variety of data integration patterns and use cases. The majority of
deployments center around the SAP Data Services product for strong bulk-batch data delivery.
The 4.2 release of SAP Data Services aims to tighten integration between bulk data delivery
functionality and the replication and synchronization offering of SAP Sybase Replication Server,
and enhances interoperability between data integration tooling and SAP Hana for supporting big
data initiatives.
Alignment with information infrastructure and governance trends: SAP's approach, based
on a single runtime platform in SAP Data Services that tightly integrates data quality and text
data processing capabilities along with data integration functionality, is described by customers
as increasingly relevant and cited as a strength. Enhanced support for collaboration between data
integration developers and data stewards facilitates synergy between data integration and
information governance processes. The vision of an SAP real-time data platform leverages SAP
Hana's in-memory computing performance and extends support for logical data warehouse
architectures and big data initiatives.
Market presence and growth: As a large and incumbent (in many tens of thousands of
enterprises) provider of applications and analytics solutions, SAP can naturally capture significant
revenue in this market by leveraging its broader customer base. Its success in doing so is
reflected in above-average revenue growth in the data integration tool market, as well as an
increased awareness and skills base for customers to leverage.
Cautions
Balance of emphasis in market messaging: Concerns about the emphasis of SAP's offerings
becoming tightly attuned to integrating with SAP Hana caused some customer perceptions that
there has been reduced emphasis on enhancing SAP's data integration tooling for non-SAP
environments. Agnostic data integration capabilities are key to customers that are integrating
SAP with non-SAP data sources and seeking ongoing support for data delivery between non-SAP
environments.
Integration across product set: Despite good support for each of the main data integration
styles, references cite difficulties in integrated implementations of SAP's offerings across its
product portfolio. Difficulties with integrated usage of separate multiple products, such as data
federation technology from BI products, SAP Data Services and SAP NetWeaver Process
Orchestration, are cited as challenges. The introduction of a unified business glossary between
SAP Data Services and SAP Sybase PowerDesigner is aimed at enhancing metadata management
and modeling support.
Customer experience: While perceptions on the functionality of SAP's data integration tooling
are generally positive, reference feedback indicates a decline in the quality of overall nonproduct
aspects of customer experiences. Customers of SAP's data integration tools continue to express
frustration with processes for obtaining product support, and the quality and consistency of
support services. SAP has made efforts to expand support forums and incident management
workflow, which will require continued attention to customer desire for improvements in the
usability of the support portal, availability of experienced professional services, ease of product
setup, and technical help for product updates, fixes and incident resolutions.
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SAS
Located in Cary, North Carolina, SAS offers the following data integration products: Data Management
Platform, Federation Server and SAS/Access. The vendor's customer base for this product set is
estimated at more than 13,000 companies.
Strengths
High functionality and wide connectivity: During the past three to four years, with SAS's
focus on enabling interoperability among its data integration tooling products, combined with
solid metadata and a wide array of available skills, the vendor's customers report that the
flexibility of the tools is easily leveraged for small projects or enterprise deployments. Customers
use phrases like "the Swiss Army knife" of data integration, "high self-service level" and
"simplicity" to describe their experience. Also included is a Pig library with prebuilt
transformations and ODBC access to Hive for Hadoop support that permits incorporating Hadoop
data in transformation jobs and in support of MapReduce processing.
Implementation, support and product quality excellence: Reference customers report that
technical support, both in presales and postimplementation, is exceptional. They specifically
mention depth of knowledge regarding the products, application of vertical industry knowledge
and expertise when rendering support. When combining product knowledge, industry experience,
and expertise in support and professional services, customers feel significant confidence in
engaging SAS. Customers also report that account management includes account executives who
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are knowledgeable of internal SAS expertise, and that they gain access to focused professional
support from SAS when particularly difficult issues emerge, with subsequent success in dealing
with those issues.
Solid metadata development and utilization: SAS has a highly integrated data profiling
capability that can interact with data transformation processes. This provides the ability to build
in job control that is based on analyzing incremental data as it moves through the data
integration process, and to alert architects and users that significant data issues may exist in
load jobs and actually automate the suspension or termination of those jobs. It keeps bad data
out of the analysis. SAS also provides entity and object modeling, reverse engineering, and the
development of models from data profiling. The vendor has added Web viewers that can be
embedded into analytics applications to enable viewing of lineage, profiles, quality metrics and
relational integrity management in the data. Another application of metadata is found in the data
remediation functionality, which highlights data issues, creates alerts and manages workflows to
address issues.
Cautions
Diversity of usage scenarios: While SAS provides functionality commonly required for data
integration activities, implementations reflect bias toward analytics-oriented scenarios that
appear to be at odds with the broadening range of use cases exhibited in this market. Although
deployments of SAS's data integration tools reflect its strategy and experience base being rooted
in analytics, narrower use scenarios relative to leaders in this market potentially puts SAS at a
competitive disadvantage. This is further evidenced by its data integration tool revenue growth
being less than the market average.
Cost and deployment complexity: A significant number of references continue to report issues
regarding the cost of SAS solutions. In addition, the large number of products makes licensing,
contracting and total cost of the solutions difficult to address. Customers expressed concerns with
cost escalation due to implementations of multiple products to achieve a range of data integration
functionality, and cited desires for simpler ways to achieve integrated deployment across SAS's
product set, where such desires parallel SAS's current state of product integration efforts.
Difficulty of identifying skilled personnel: Customers report a general lack of knowledge of
SAS tools in the marketplace and that it is difficult to find skilled personnel. Reports of slow
performance can even be attributed to this, with customers reporting that insufficient
infrastructure and an inability to tune the processes are most likely culprits when performance
and throughput issues actually emerge.
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Syncsort
Located in Woodcliff Lake, New Jersey, Syncsort offers DMExpress. The vendor's customer base for
this product is estimated at more than 1,200 companies.
Strengths
Price point and usability of core functionality: Adoption of Syncsort in the data integration
tool market is fueled by demands for tools with a short time to implementation and targeted
functionality, with ETL capabilities at the core. Strong performance for ETL workloads, lower TCO
compared with market leaders and ease of use are cited as key points of value for references
selecting DMExpress. The low learning curve for implementation, customization and
administration are additional drivers for market interest. The latest release of DMExpress
(branded as DMX), with new Hadoop-based offerings (DMX-h ETL Edition and DMX-h Sort Edition)
, expands support for enabling the designs of data integration processes to be deployed on
Hadoop. DMX-h takes advantage of Syncsort's recent contribution to Apache Hadoop, which
provides native integration with MapReduce, added mainframe connectivity, and ETL and sort
processes that can be deployed within Hadoop.
Customer relationship and track record: Syncsort offers a high quality of service and
support, and many customers identify product technical support and their overall relationship
with the vendor as positives. Customer service characteristics such as custom support,
willingness to accept product enhancement suggestions (that do get included in the offerings),
technical support knowledge and incident follow-through, are cited as key factors for the close
relationships customers have with Syncsort. With an established track record in high-
performance data processing, and a loyal customer base, Syncsort has a solid foundation on
which to grow its market presence.
Applicability of usage scenarios: Deployments of Syncsort largely reflect support for BI and
analytics, while there is broader usage for addressing operational data consistency, data
migration and interenterprise data sharing. Syncsort's implementations are recognized for
resolving performance bottlenecks in ETL processes, such as fast joins between very large tables
with flat files, efficient usage of hardware resources when scaling with data volume growth and
optimization of bulk/batch processing. New Hadoop-based offerings and a library of use case
accelerators enhance Syncsort's competitive alignment to capitalize on big data requirements for
implementation of common ETL use cases in Hadoop.
Cautions
Breadth of functionality and usage experience: Although partnerships with vendors that
offer extended functionality (for example, Attunity for CDC and Trillium Software for data
quality) allow Syncsort to position itself for broader demand, its predominant capabilities remain
very ETL-centric. Syncsort faces the risk of competitive disadvantage for not addressing a broad
range of data integration styles. Requirements for non-bulk/batch-oriented data delivery are
increasing, as reflected in the market as well as in Syncsort's reference customers looking to
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address data integration activities beyond ETL functionality. Feedback from tool usage indicates
that interfaces appear dated, compared with some competitive products, and this is a factor that
limits user satisfaction. Syncsort has started a phased approach to upgrade user interfaces with
its first delivery via the recent release.
Synergy with related data management capabilities: While Syncsort continues to add
metadata capabilities with each new release, reference customers continue to cite metadata
management as an area of relative weakness. In particular, with Syncsort's expansion into big
data environments, the increased distribution of information assets and the complexity of such
environments mean that metadata discovery, modeling and dynamic use of metadata to drive
runtime execution of data integration workloads will be critical. Syncsort's lack of data quality
support represents a gap relative to the demand trend for synergistic deployment of data
integration and data quality capabilities.
Guidance and support for best practices: Increased adoption is generating dissatisfaction
with the lack of self-help references and methodologies to provide implementation guidance.
Concerns cited regarding weaknesses in documentation reflect the growing complexity in the
tool's usage scenario; hence, it is raising expectations of implementation support and the desire
for readily accessible self-help resources and practices. Syncsort has begun addressing these
concerns by investing in additional resources to deliver more-detailed documentation. Results so
far include a knowledgebase with over 100 articles, an active user community, specific use case
accelerators with videos to aid deployments and a redesigned company website.
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Talend
Located in Los Altos, California, and Suresnes, France, Talend offers the following data integration
products: Talend Open Studio for Data Integration, Talend Open Studio for Big Data and Talend
Enterprise Data Integration. The vendor's customer base for this product set is estimated at more than
3,000 companies.
Strengths
Relevant capabilities and integration of components: Talend offers capable bulk/batch data
integration capabilities that have reached a level of maturity suitable for a significant portion of
the market. Ancillary functionality comprising data quality, MDM, business process management
and an enterprise service bus are well-integrated, affording customers the capability to support a
broader range of data management initiatives if they desire. Talend now focuses heavily on
Hadoop and other NoSQL data sources, attempting to capitalize on the contemporary excitement
around big data via expanded capabilities for generating MapReduce code, interacting with Hive,
and integration with emerging database technologies such as Cassandra and MongoDB. The
product road map also includes an increased emphasis on public cloud deployments via Amazon
Elastic Compute Cloud (Amazon EC2).
Cost model, flexibility and time to value: Reference customers generally report ease of use
and speed of deployment as strengths of Talend's technology. They also consider the
configurability of Talend's tools to be flexible enough to adapt to the business requirements of
data integration processes. The availability of artifacts built by Talend's developer and user
communities has contributed to high developer productivity. Most Talend customers are attracted
to the tool because of its low price relative to most competitors. The combination of the free
Open Studio for Data Integration product and modest subscription pricing for Enterprise Data
Integration represents an attractive option for customers seeking lower-cost options, and
continues to generate positive customer perceptions of value relative to cost.
Increasing traction and mind share: As a result of its attractive pricing model, increasing
maturity of functionality (predominantly for ETL workloads) and significant vendor investments in
marketing, Talend has enjoyed significant growth of its customer base during the past 12
months. The vendor appears with increasing frequency on the shortlists of organizations
evaluating data integration tools. While not selected as an enterprise standard in larger
organizations as often as most of its competition, Talend is regularly seen augmenting
implementations of data integration capabilities where customers are budget-constrained.
Cautions
Uneven emphasis for all data delivery styles: When focused toward data integration use
cases, Talend's tools are predominantly deployed for bulk/batch-oriented data delivery, and are
used much less frequently for real-time and granular data flow and message-oriented data
delivery. The vendor's Data Services functionality provides basic support for data federation/
virtualization, but it will need to deliver richer capabilities in light of the rapid increase in interest
in this style of data integration to support real-time analytics scenarios and emerging logical data
warehouse architectures.
Primary focus on technical developer role: Given its open-source roots, Talend appeals
mainly to the technical developer community and has less mind share with IT management and
application and business process owners. This creates a challenge for Talend, because its major
competition has a high level of visibility with those roles, and, therefore, has a greater chance of
capturing investments in information management technologies to which such roles are now
leading.
Customer support and service experience: Despite a positive perception of the capabilities
and value of the technology relative to the cost, Talend references continue to report challenges
with quality of product technical support, training, documentation and professional services.
Reference customers continue to report challenges with version upgrades, too many fixes/
patches and bugs in new versions — although it must be noted that a portion of these customers
are not running the latest versions of Talend's technology. Talend continues to work on these
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issues through ongoing improvements in its testing and quality assurance processes, as well as
with more-formalized and documented processes and timelines for release management. In
addition, despite the large developer community touted by the vendor, the limited availability of
skills in Open Studio and Enterprise Data Integration in the market are cited by customers as
challenges.
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Vendors Added or Dropped
We review and adjust our inclusion criteria for Magic Quadrants and MarketScopes as markets change.
As a result of these adjustments, the mix of vendors in any Magic Quadrant or MarketScope may
change over time. A vendor appearing in a Magic Quadrant or MarketScope one year and not the next
does not necessarily indicate that we have changed our opinion of that vendor. This may be a
reflection of a change in the market and, therefore, changed evaluation criteria, or a change of focus
by a vendor.
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Added
Adeptia
Composite Software
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Dropped
No vendors were dropped from this Magic Quadrant.
Information Builders-iWay Software now appears as Information Builders.
Pervasive Software now appears as Actian-Pervasive Software.
SAS-DataFlux now appears as SAS.
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Inclusion and Exclusion Criteria
To be included in this Magic Quadrant, vendors must possess within their technology portfolio the
subset of capabilities identified by Gartner as the most critical from within the overall range of
capabilities expected of data integration tools. Specifically, vendors must deliver the following
functional requirements:
Range of connectivity/adapter support (sources and targets): Native access to relational DBMS
products, plus access to nonrelational legacy data structures, flat files, XML and message queues
Mode of connectivity/adapter support (against a range of sources and targets): Bulk/batch and
CDC
Data delivery modes support: At least two modes among bulk/batch (ETL-style) delivery,
federated views, message-oriented delivery or data replication
Data transformation support: At a minimum, packaged capabilities for basic transformations
(such as data type conversions, string manipulations and calculations)
Metadata and data modeling support: Automated metadata discovery, lineage and impact
analysis reporting, ability to synchronize metadata across multiple instances of the tool, and an
open metadata repository, including mechanisms for bidirectional sharing of metadata with other
tools
Design and development support: Graphical design/development environment and team
development capabilities (such as version control and collaboration)
Data governance support: Ability to interoperate at a metadata level with data-profiling and/or
data quality tools
Runtime platform support: Windows, Unix or Linux operating systems
Service enablement: Ability to deploy functionality as services conforming to SOA principles
In addition, vendors had to satisfy the following quantitative requirements regarding their market
penetration and customer base:
They must generate at least $20 million of annual software revenue from data integration tools
or maintain at least 300 maintenance-paying customers for their data integration tools.
They must support data integration tool customers in at least two of the major geographic
regions (North America, Latin America, Europe, the Middle East and Africa, and the Asia/Pacific
region).
We excluded vendors that focus on only one specific data subject area (for example, the integration of
customer data only), a single industry, or only their own data models and architectures.
Many other vendors of data integration tools exist beyond those included in this Magic Quadrant.
However, most do not meet the above criteria and, therefore, we have not included them in our
analysis. Market trends during the past three years indicate that organizations want to use data
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integration tools that provide flexible data access, delivery and operational management capabilities
within a single vendor solution. Excluded vendors frequently provide products to address one very
specific style of data delivery (for example, data federation only) and cannot support other styles.
Others provide a range of functionality, but operate only in a specific technical environment. Still
others operate only in a single region or support only narrow, departmental implementations. Some
vendors meet all the functional, deployment and geographic requirements, but are very new to the
data integration tool market, and have limited revenue and few production customers.
The following vendors are sometimes considered by Gartner clients, along with those appearing in this
Magic Quadrant, when deployment needs match their specific capabilities (this list also includes recent
market entrants with relevant capabilities and is not intended to be comprehensive):
Ab Initio, Lexington, Massachusetts (www.abinitio.com) — Offers an application development
toolbox (Co>Operating System) and component library for metadata management and data
integration.
Alebra Technologies, New Brighton, Minnesota (www.alebra.com) — Offers Parallel Data Mover
for cross-platform file and database copying and sharing.
Apatar, Walnut, California (www.apatar.com) — Provides open-source data integration tools
focused on ETL and data synchronization scenarios.
Arbutus Software, Burnaby, British Columbia, Canada (www.arbutussoftware.com) — Provides
solutions for mainframe legacy data connectivity and access, in support of data integration and
other use cases.
Astera Software, Simi Valley, California (www.astera.com) — Provides ETL, CDC and B2B data
integration capabilities via the Centerprise Data Integrator product.
Ataccama, Stamford, Connecticut, and Prague, Czech Republic (www.ataccama.com) — Provides
bulk loaders for industry standard databases management systems, such as Oracle DBMS and
Microsoft SQL Server.
Attunity, Burlington, Massachusetts (www.attunity.com) — Offers a range of data-integration-
oriented products, including adapters (Attunity Connect), CDC (Attunity CDC), replication
(Attunity Replicate), data federation (Attunity Federate) and data movements involving cloud-
based data structures (Attunity CloudBeam) for various database/file types.
Axway, Phoenix (www.axway.com) — Offers software and services, such as B2B data integration
capabilities in support of various data sources, including variants of XML and EDI.
BackOffice Associates, South Harwich, Massachusetts (www.boaweb.com) — Offers services
and technology; the Data Stewardship Platform provides data integration capabilities for data
migrations, with a focus on SAP and other ERP environments. Under the HiT Software brand, the
vendor offers database replication (DBMoto), database-to-XML transformation and mapping
(Allora), and DB2 connectivity products.
BIReady, New York and Langbroek, the Netherlands (http://biready.com) — Offers a dynamic
model resolution tool for rationalizing, deploying and populating analytics models, coupled with a
data integration engine for transformations between models.
C3 Business Solutions, Melbourne, Australia (www.c3businesssolutions.com and
www.c3integrity.com) — Offers services and technology through a simplified set of tools for
consolidating data, validating data and acquiring data from sources, including Excel, Access,
comma-separated values (CSV), and fixed-width and XML-standard data formats.
CDB Software, Houston (www.cdbsoftware.com) — CDB/Delta provides CDC and replication
capabilities for IBM DB2 on the z/OS platform.
DataRoket, Washington, D.C. (www.dataroket.com) — Offers ETL and data federation
capabilities via the DataRoket product suite.
DataStreams, Seoul, Korea (www.datastreams.co.kr) — Provides capabilities for ETL, CDC and
near-real-time integration of data via a range of offerings, including TeraStream and
DeltaStream.
Datawatch, Chelmsford, Massachusetts (www.datawatch.com) — The Datawatch Data Pump
product provides ETL functionality and support for extracting data from report text, PDF files,
spreadsheets and other less-structured data sources.
DBSync, Brentwood, Tennessee (www.mydbsync.com) — Offers the dbsync integration platform
for integration of data between databases and applications, via on-premises and on-demand
models.
Dell Boomi, Berwyn, Pennsylvania (www.boomi.com) — A business unit of Dell, Boomi provides
technology for integration of data to and between SaaS-based applications and data sources.
Denodo Technologies, Palo Alto, California, Madrid and London (www.denodo.com) — The
Denodo Platform provides data federation/virtualization and mashup enablement capabilities for
joining structured data sources with data from websites, documents and other less-structured
repositories.
DFI, Co Dublin (www.datafusion.ie) — Positioned as a data and content fusion technology, the
Infinity solution supports federated approaches to data integration.
Diyotta, Charlotte, North Carolina (www.diyotta.com) — Focuses on extraction, loading,
transformation (ELT)-style workloads leveraging parallel distributed processing architectures and
database appliances, via the Diyotta Data Integration Suite.
Elastic Intelligence, Menlo Park, California (www.connectioncloud.com) — The Connection
Cloud supports applications or tools to connect with SaaS data sources using SQL and offers
capability for federating cloud data sources to enable access from a single virtualized view.
ETI, Austin, Texas, a Versata Application Development company (www.versata.com and
www.eti.com) — The ETI solution has a code generation architecture focused on bulk/batch-
oriented data movement.
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ETL Solutions, Bangor, U.K. (www.etlsolutions.com) — Transformation Manager provides a
metadata-driven toolset for the authoring, testing, debugging and deployment of various data
integration requirements.
Extol, Pottsville, Pennsylvania (www.extol.com) — Extol Business Integrator (EBI) enables data
and application integration involving heterogeneous environments, aimed at supporting usage in
business-to-business, application, data and cloud integration.
Gamma Soft, Ivry-sur-Seine, France (www.gamma-soft.com) — Supports CDC and data
replication for various heterogeneous data source types via the data'distribution product.
GSS Group, Markham, Ontario, Canada (www.gssgrp.com) — Offers Vigilance XPress, a Web-
based solution for SQL Server data marts supporting Microsoft's .NET Framework, and enabling
data extraction from various ERP and DBMS sources.
GT Software, Atlanta (www.gtsoftware.com) — The Ivory Suite product line supports
connectivity to, and integration with, mainframe-based data sources of various types.
HVR Software, Amsterdam, the Netherlands (www.hvr-software.com) — Offers the HVR
Realtime Data Integration product supporting CDC, propagation and replication patterns against
various data source and platform types.
Innovative Routines International (The CoSort Co., Melbourne, Florida (www.iri.com) —
Fast Extract and SortCL tools provide for the rapid unloading and transformation of data in bulk/
batch and CDC propagation across DBMSs and flat files to address data manipulation in
supporting requirements such as ETL and big data.
Irion, Turin, Italy (www.iriondq.com) — Supports connectivity to DBMSs and mainframe files,
and the creation of federated views of data from heterogeneous sources in and outside the
organization as part of a data quality governance framework.
iZenda, Atlanta (www.izenda.com) — Offers iZenda Fusion providing data federation/
virtualization capabilities that support real-time data access to diverse data sources for analytics
uses.
Javlin, Arlington, Virginia (www.javlininc.com and www.cloveretl.com) — Offers the CloverETL
product for building, deploying and monitoring data integration processes in support of analytics
and embedded use in business applications.
Jitterbit, Oakland, California (www.jitterbit.com) — Offers software through on-premises and
cloud-based models, with a focus on application integration (event- and message-based) and data
integration.
JumpMind, Columbus, Ohio (www.jumpmind.com) — The open-source SymmetricDS product set
offers data replication capabilities for a variety of relational DBMS environments.
Kapow Software, Palo Alto, California (www.kapowsoftware.com) — Kapow Katalyst and Kapow
KappZone support data integration and creation of integration workflows from data and content
in on-premises and cloud-based applications, websites, big data sources and content
management repositories.
Kinetic Networks, San Francisco (www.kineticnetworks.com and www.ketl.org) — Supports ETL
capabilities via KETL, an open-source data integration tool.
Metatomix, Austin, Texas, a Versata Application Development company (www.versata.com and
www.metatomix.com) — Offers the Metatomix ERI platform with a semantics-based approach to
the creation of data services and federated views of data across multiple data sources.
MioSoft, Madison, Wisconsin (www.miosoft.com) — Supports data extract and transformation,
with the ability to publish data to files, relational DBMS environments and messaging
infrastructure through MioBDT as well as via a cloud-based platform, MioEdge.
Nimaya, Washington, D.C. (www.nimaya.com) — ActionBridge technology enables virtual
federation of data across on-premises and SaaS-based data sources.
Pentaho, Orlando, Florida (www.pentaho.com and kettle.pentaho.com) — Provides data
integration capabilities through the Pentaho Data Integration product and by leveraging the
Kettle open-source project to support uses of data from diverse environments, including
relational and NoSQL DBMSs, ERP applications, and big data sources.
Pitney Bowes Software, Stamford, Connecticut (www.pb.com/software) — The software and
service division of customer communications management vendor Pitney Bowes offers capabilities
for supporting bulk data movements via Sagent Data Flow and Spectrum Technology Platform.
Progress Software, Bedford, Massachusetts (www.progress.com) — The Data Integration Suite
of the vendor's DataDirect product line provides data access, replication and synchronization
capabilities.
QlikTech, Radnor, Pennsylvania (www.qlikview.com) — Offers the QlikView Expressor product
based on a semantic approach to designing and managing data integration processes.
Quest Software, Aliso Viejo, California (www.quest.com) — Acquired by Dell in 3Q12, Quest
Software's SharePlex provides real-time replication support for Oracle DBMS environments and is
aimed primarily at high-availability applications.
Red Hat, Raleigh, North Carolina (www.redhat.com and www.jboss.org/teiid) — The Teiid
products support the creation of data models and model-driven federated views of data.
RedPoint, Wellesley Hills, Massachusetts (www.redpoint.net) — RedPoint Data Management
provides bulk/batch-style data movements along with prebuilt tooling for address standardization
and correction to offer combined support of data integration and data quality efforts.
Relational Solutions, Westlake, Ohio (www.relationalsolutions.com) — The BlueSky Integration
Studio provides ETL capabilities in a simplified, low-cost toolset that runs in the Windows
environment.
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Safe Software, Surrey, British Columbia, Canada (www.safe.com) — The Feature Manipulation
Engine (FME) technology platform delivers ETL capabilities for spatially oriented data sources
commonly used in geographic information system applications.
Scribe, Manchester, New Hampshire (www.scribesoft.com) — The Scribe Insight product
provides data migration and integration for supporting deployments of business applications, with
a focus on Microsoft Dynamics. Scribe Online supports integration involving cloud-based data.
Sesame Software, Los Angeles (www.sesamesoftware.com) — Offers the Relational Junction
product suite for synchronization of data between popular packaged and SaaS applications, with
a focus on ETL-oriented patterns of integration.
SnapLogic, San Mateo, California (www.snaplogic.com) — Offers real-time and federated
integration of data, with a focus on diverse data sources, including SaaS- and cloud-based
sources, and via Web-oriented architectural approaches.
Software AG, Darmstadt, Germany (www.softwareag.com) — The CentraSite product provides
data and metadata federation capabilities, and is geared toward SOA deployments. Software AG's
Integration Platforms enable process-oriented integration capabilities.
SQData, Addison, Texas (www.sqdata.com) — The SQData product line provides data replication,
CDC and ETL functionality focused on delivering mainframe data sources and popular relational
DBMSs.
Stone Bond, Houston (www.stonebond.com) — Supports both federated/virtualized data
integration and physical data movement via the Enterprise Enabler technology set.
Sypherlink, Worthington, Ohio, a subsidiary of Saama Technology (www.sypherlink.com) —
Provides metadata discovery and mapping via Harvester, and access to data sources for the
creation of integrated views via Harvester Integrator.
Tervela, Acton, Massachusetts (www.tervela.com) — Tervela Data Fabric supports capturing,
sharing and distributing data from enterprise and cloud data sources for analytics uses enabling
low-latency data movements.
Vision Solutions, Irvine, California (www.visionsolutions.com) — Real-time database replication
functionality is provided by the Double-Take Share product.
WhereScape, Portland, Oregon (www.wherescape.com) — WhereScape RED enables the rapid
creation and maintenance of data warehouses, including ETL functionality.
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Evaluation Criteria
Ability to Execute
Gartner analysts evaluate technology providers on the quality and efficacy of the processes, systems,
methods and/or procedures that enable IT providers' performance to be competitive, efficient and
effective, and to positively impact revenue, retention and reputation. Ultimately, technology providers
are judged on their ability to capitalize on their vision, and their success in doing so.
We evaluate vendors' Ability to Execute in the data integration tool market by using the following
criteria:
Product/Service. How well the vendor supports the range of distinguishing data integration
functionality required by the market, the manner (architecture) in which this functionality is
delivered and the overall usability of the tools. Product capabilities are critical to the success of
data integration tool deployments and, therefore, receive a high weighting.
Overall Viability. This refers to the magnitude of the vendor's financial resources and the
continuity of its people and technology, which affect the practical success of the business unit or
organization in generating business results.
Sales Execution/Pricing. This refers to the effectiveness of the vendor's pricing model, and the
effectiveness of its direct and indirect sales channels. This criterion is weighted high due to the
sustained scrutiny on cost issues and the highly competitive nature of this market.
Market Responsiveness and Track Record. This is the degree to which the vendor has
demonstrated the ability to respond successfully to market demand for data integration
capabilities over an extended period, and how well the vendor acted on the vision of prior years.
Marketing Execution. This is the overall effectiveness of the vendor's marketing efforts, which
impacts its mind share, market share and account penetration. It also refers to the ability of the
vendor to adapt to changing demands in the market by aligning its product message with new
trends and end-user interests.
Customer Experience. This refers to the level of satisfaction expressed by customers with the
vendor's product support and professional services, their overall relationship with the vendor,
and their perceptions of the value of the vendor's data integration tools relative to costs and
expectations. In this iteration of the Magic Quadrant, we have retained a weighting of high for
this criterion, to reflect buyer's continued scrutiny of these considerations as a result of economic
conditions and budgetary pressures. Analysis and rating of vendors against this criterion is driven
directly by responses from customers that participated in the reference customer survey that
Gartner conducted as part of the process of developing this Magic Quadrant.
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Table 1. Ability to Execute Evaluation Criteria
Evaluation Criteria Weightin
g
Product/Service High
Overall Viability (Business Unit, Financial, Strategy, Organization) Standard
Sales Execution/Pricing High
Market Responsiveness and Track Record Standard
Marketing Execution Standard
Customer Experience High
Operations No rating
Source: Gartner (July 2013)
Completeness of Vision
Gartner analysts evaluate technology providers on their ability to convincingly articulate logical
statements about current and future market direction, innovation, customer needs, and competitive
forces, as well as how they map to Gartner's position. Ultimately, technology providers are assessed
on their understanding of the ways that market forces can be exploited to create opportunities.
We assess vendors' Completeness of Vision for the data integration tool market by using the following
criteria:
Market Understanding. This is the degree to which the vendor leads the market in recognizing
opportunities represented by trends and new directions (technology, product, services or
otherwise), and its ability to adapt to significant market inertia and disruptions. Given the
dynamic nature of this market, this criterion receives a weighting of high.
Marketing Strategy. This refers to the degree to which the vendor's marketing approach aligns
with and/or exploits emerging trends and the overall direction of the market.
Sales Strategy. This refers to the alignment of the vendor's sales model with the ways in which
customers' preferred buying approaches will evolve over time.
Offering (Product) Strategy. This assesses the degree to which the vendor's product road
map reflects demand trends in the market, fills current gaps or weaknesses, and includes
developments that create competitive differentiation and increased value for customers. In
addition, given the requirement for data integration tools to support diverse environments from
a data domain, platform and vendor mix perspective, we assess vendors on the degree of
openness of their technology and product strategy. With the growth in diversity of data and
environments involved in data integration initiatives, this criterion receives a weighting of high.
Business Model. This refers to the overall approach the vendor takes to execute its strategy for
the data integration tool market.
Vertical/Industry Strategy. This refers to the degree of emphasis the vendor places on
vertical solutions, and the vendor's depth of vertical market expertise.
Innovation. This refers to the degree to which the vendor demonstrates creative energy in the
form of enhancing its practices and product capabilities, as well as introducing thought-leading
and differentiating ideas and product plans that have the potential to significantly extend or
reshape the market in a way that adds real value for customers. Given the pace of expansion of
data integration requirements and the highly competitive nature of the market, this criterion
receives a weighting of high.
Geographic Strategy. This refers to the vendor's strategy for expanding its reach into markets
beyond its home region/country, and its approach to achieving global presence (for example, its
direct local presence and use of resellers and distributors).
Table 2. Completeness of Vision
Evaluation Criteria
Evaluation Criteria Weightin
g
Market Understanding High
Marketing Strategy Standard
Sales Strategy Standard
Offering (Product) Strategy High
Business Model Standard
Vertical/Industry Strategy Low
Innovation High
Geographic Strategy Standard
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Source: Gartner (July 2013)
Quadrant Descriptions
Leaders
Leaders in the data integration tool market are front-runners in the convergence of single-purpose
tools into an offering that supports a range of data delivery styles. These vendors are strong in the
more traditional data integration patterns. They also support newer patterns and provide capabilities
that enable data services in the context of SOA. Leaders have significant mind share in the market,
and resources skilled in their tools are readily available. These vendors establish market trends, to a
large degree, by providing new functional capabilities in their products, and by identifying new types
of business problems to which data integration tools can bring significant value. Examples of
deployments that span multiple projects and types of use cases are common among Leaders'
customers.
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Challengers
Challengers are well-positioned in light of the key trends in the data integration tool market, such as
the need to support multiple styles of data delivery. However, they may not provide a comprehensive
breadth of functionality, or may be limited to specific technical environments or application domains.
In addition, their vision may be hampered by the lack of a coordinated strategy across the various
products in their data integration tool portfolio. Challengers can vary significantly with regard to their
financial strength and global presence. They are often large players in related markets that have only
recently placed an emphasis on data integration tools. Challengers generally have substantial
customer bases, although implementations are often of a single project nature, or reflect multiple
projects of a single type (for example, all ETL-oriented use cases).
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Visionaries
Visionaries have a solid understanding of emerging technology and business trends, or a position that
is well-aligned with current demand, but they lack market awareness or credibility beyond their
customer base or a single application domain. Visionaries may also fail to provide a comprehensive set
of product capabilities. They may be new entrants lacking the installed base and global presence of
larger vendors, although they could also be large, established players in related markets that have
only recently placed an emphasis on data integration tools. The growing emphasis on aligning data
integration tools with the market's demand for interoperability of delivery styles, convergence of
related offerings (such as data integration and data quality tools), metadata modeling and support for
emerging analytics environments, among other things, is creating fresh challenges for which vendors
must demonstrate vision.
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Niche Players
Niche Players have gaps in both their Completeness of Vision and Ability to Execute, often lacking key
aspects of product functionality and/or exhibiting a narrow focus on their own architectures and
installed bases. These vendors have little mind share in the market and are not recognized as proven
providers of data integration tools for enterprise-class deployments. Many Niche Players have very
strong offerings for a specific range of data integration problems (for example, a particular set of
technical environments or application domains) and deliver substantial value for their customers in
that segment.
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Context
Data integration is central to enterprises' information infrastructure. Enterprises pursuing the
frictionless sharing of data are increasingly favoring technology tools that are flexible in regard to
time-to-value demands, integration patterns, optimization for cost and delivery models, and synergies
with data management programs.
Demand trends for enterprises to modernize their information infrastructure are fueling the
emergence of data management strategies that draw on a comprehensive range of improved data
integration functions and prompting users to seek data integration tools that meet their evolving
requirements. Data integration capabilities are essential if data is to be shared across all organizational
and system boundaries, fueling interests of a data integration hub as an enterprise competency.
Data integration offerings are emphasized to support comprehensive ways to operate across data
environments, using diverse data delivery styles and an extended focus toward a model-driven
approach that leverages common metadata across an integrated technology portfolio. In addressing
critical components of enabling information management, data integration is an integral discipline —
from assisting organizations in understanding the meaning and value of information assets to exposing
and sharing them in a variety of formats and context.
In enabling information services that are necessary, tool capabilities are extending its focus on flexible
latency with a mix of data delivery optimization to meet data availability requirements. IT leaders will
need to anticipate and include real-time characteristics needed in their data integration architectures.
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Vendors' tools are exhibiting enhanced characteristics in data integration architecture, with deepened
integration between bulk/batch delivery and granular, low-latency data capture and propagation.
Overlaps in some areas of data integration and related markets and disciplines represent opportunities
for IT leaders to pursue multidisciplinary information capabilities in a synergistic way. Data integration
functions are driven to operate synergistically with data quality, MDM, application integration, in-
memory infrastructure, cloud models, and preconfigured or purpose-built appliances and platforms for
data management.
At the same time, IT leaders continue to emphasize requirements for high-quality customer service
and support, and are extending implementations beyond analytics-related uses to support operational
data consistency, data migration, cloud-related integration and data services in SOA and big data
initiatives.
The competitive landscape reflects vendors' pursuit of a more comprehensive offering strategy to
support a broad range of use cases and to capitalize on new demand. IT leaders are demanding
synergy between functions, performance and scalability in data integration tools, so that they operate
well with the same vendor's technology stack and, increasingly, interoperate across data management
infrastructures.
As buyers seek to address data integration as a critical aspect of a coherent information management
capability, the need to integrate disparate data sources and new data types into a cohesive and usable
set of information will continue to grow, with data integration capabilities becoming a critical part of an
information capabilities framework.
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Market Overview
The discipline of data integration comprises the practices, architectural techniques and tools for
achieving consistent access to, and delivery of, data across the spectrum of data subject areas and
data structure types in the enterprise, to meet the data consumption requirements of all applications
and business processes. Data integration capabilities are at the heart of the information capabilities
framework (see "Information Management in the 21st Century" and "The Information Capabilities
Framework: An Aligned Vision for Information Infrastructure") and will power the frictionless sharing of
data across all organizational and system boundaries.
Pressures grow in this market as vendors are challenged to address demand trends for innovation with
the ability to enhance traditional practices and to introduce new models and practices. Demand trends
in 2013 are requiring vendors to increase flexibility in approaching comprehensive data integration
needs, and demonstrating alignment to expectations on time to deployment, range of data integration
patterns, sentiment for cost and delivery models, and synergy with a broad set of data management
initiatives. Business imperatives to confront new information challenges are driving the need for a
realignment of technology vision in this market. Meanwhile, IT leaders continue to emphasize
requirements for high-quality customer service and support, and for extending implementations
beyond analytics-related uses to support operational data consistency, data migration, cloud-related
integration and data services in SOA initiatives.
Gartner estimates that the data integration tool market was slightly over $2 billion at the end of 2012,
an increase of 7.4% from 2011. This market is seeing an above-average growth rate of the overall
enterprise software market, as data integration continues to be considered a strategic priority by
organizations. Ongoing interests and investments are demonstrated as organizations engage a
diversity of data integration problem types and emergent demands that must be comprehensively
addressed. A projected five-year compound annual growth rate of approximately 9.7% will bring the
total to more than $3.2 billion by 2017 (see "Forecast: Enterprise Software Markets, Worldwide,
2012-2017, 2Q13 Update").
The market for data integration tools has exhibited substantial demands for technologies that offer
breadth of functionality, high performance and the scalability needed to support enterprise-scale
implementations. Buyers in this market continue to expand their usage and seek vendor technologies
to serve a range of data integration capabilities applicable to a variety of use cases. This competitive
landscape reflects vendor pursuit of a more comprehensive set of product offerings that together form
their data integration tool portfolio, for supporting a broad range of uses and capitalizing on new
demand.
Changes in the positioning of vendors in this iteration of the Magic Quadrant are driven not only by
vendors' activities in delivering new product capabilities, but also by their degree of success in
targeting contemporary demands.
Strategy in Enterprises to Make Data Integration Central to the Information Infrastructure
With the ongoing evolution of the data integration tool market, enterprises' need to improve the
flexibility of their information infrastructure is fueling the emergence of data management strategies
that draw on a comprehensive range of improved data integration functions, and is prompting users to
seek data integration tools that meet their evolving requirements. Businesses' requirements to
confront new information challenges are driving a realignment of technology vision in this market. In a
move away from meeting data integration requirements with disparate interfaces and tools, forward-
thinking enterprises are beginning to pursue the architectural concept of a data integration hub
capable of managing the exchange of entity information — such as in relating to customers, products
or suppliers — and transactional context (see "Data Integration Hubs: Drivers, Benefits and Challenges
of an Increasingly Popular Implementation Approach"). This need for a set of shared and coordinated
data integration tooling is further escalated by requirements in big data initiatives for integrating an
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extreme level of information from emerging sources (including unstructured data or content) and
combining disparate data sources and new data types into a usable, cohesive set. The increasing
activity among data integration technology providers is evident in tool enhancements to address
trends and demand and to provide early offerings that take advantage of external parallelization
techniques, such as Hadoop distributions and MapReduce-oriented algorithms. A growing emphasis on
aligning strategy and future direction in terms of market understanding, offering strategy and
adaptability to capitalize on new challenges is driving a renewed vision and focus among providers.
Rationalization of Tools Intensifies in Enterprises for Cost and IT Resource Optimization
Gartner's interactions with clients indicate an escalating desire in organizations to reduce the number
of tactical data integration tools with a chosen or enforced enterprise standard. These organizations
are recognizing their limited ability to extend data delivery approaches to join silos of information and
the ongoing redevelopment of integration artifacts and components are escalating costs across the
business. Standardized tools will help promote a shared-service model for data integration, improve
the quality and efficiency of data integration work and potentially lower costs as enterprises improve
their ability to reuse tools in a variety of business contexts. Vendors with established track records and
strong leadership exhibit support for comprehensive data integration patterns, as providers of narrow-
style offerings encounter limited adoption as the enterprise standard for data integration
infrastructure.
Awareness Grows in Enterprises to Address the Lack of Data Integration Strategy
Pressures for amassing data to respond to business needs and changes, requirements for data
delivery support, and urgencies for making data available in real time or within a minute will critically
impact business agility. While data integration must be pursued with a strategic view to ensure
success, many organizations at large still lack a comprehensive approach to data integration. For most
organizations, pursuing and investing in data integration as a strategic and coherent enterprise
capability remains an uphill justification. Addressing requirements early with the business is crucial,
because it is easier to architect than to retrofit characteristics that must be present in an architecture
for a multimode, multipurpose data integration environment that flexibly operates beyond
conventional bulk/batch movements, to include nonbulk approaches for replication, federation and
message-based integration. Data integration must be able to envision characteristics that are essential
in its architecture to support a mix of latencies, for the extent of granularity and the nature of real-
time demand for data delivery. Also gaining interest is the approach of service orientation to address
needs for the consistent, yet flexible, delivery of data. Enterprises that are maturing in their adoption
of data integration tools are emphasizing common design tooling, metadata and runtime architecture
applicable across data integration efforts. The ability of vendors to understand buyers' wants and
needs and to translate those into products and services will influence or enhance adoptions, as a result
of the vision of how providers shape their approach to provisioning their product set.
Demand for Synergy Between Data Integration and Data Management and Application
Integration Initiatives
During the past five years, more and more enterprises have demanded data integration offerings that
support comprehensive ways to operate across data environments. Across data-management-related
efforts, capabilities are needed for diverse data delivery styles, tightened links to data quality tools,
MDM solutions and an extended focus toward a model-driven approach that leverages common
metadata across a technology portfolio. In addition, overlaps in some areas of data integration and
application integration represent opportunities — for IT leaders responsible for integration
infrastructure — to pursue both disciplines in a synergistic way. Organic expansion of vendors'
capabilities into neighboring areas, such as application integration, provides opportunities to leverage
the intersection of data integration and application integration by means of tools offering capabilities in
common areas to deliver shared benefits (see "Leveraging the Convergence of Application and Data
Integration"). Seamless interoperability of data and application integration functionality using a unified
platform is increasingly regarded as a point of value by forward-looking enterprises.
Federated and Virtual Views Gains Importance in Logical Data Warehouse Architectures
Diverse requirements for the data warehouse force changes in how data is manipulated. Evolving
approaches on logical data warehouse (LDW) architectures are including implementation techniques
beyond those that are repository-based (see "Understanding the Logical Data Warehouse: The
Emerging Practice"). Among enterprises, this is generating wider interest in how federated views of
data are becoming important for the LDW effort. The need to render data resources useful wherever
they are deployed presents opportunities to use data federation and virtualization to read data in
place, instead of focusing data warehousing efforts exclusively on the storage of integrated datasets in
dedicated repositories. Capabilities for access-oriented data services that enable enterprises to move
toward SOA are relevant for supporting the LDW's use of abstracted interfaces. Introducing federation
into the mix of data delivery capabilities can enable the use of in-memory infrastructure to assimilate
the distributed data of an LDW, a task that involves pushing data to a range of repository types and
pulling together views across combinations of those repositories on the fly.
Reusability of Tools for Broad Applicability of Use Cases
Use cases for data integration tools are diversifying as buyers procure tools with the aim of supporting
a wide range of projects and initiatives. Although data integration tools are still mainly deployed for
BI, analytics and data warehousing initiatives, the growing complexity and diversity of usage scenarios
is also fueling demand. Uses of federated views of data to leverage distributed enterprise data in an
LDW are attracting early interest as a means of aggregating and providing data rapidly to the
business. Data migrations in support of modernization and consolidation initiatives are growing, with
data integration capabilities — and the related technology area of data quality — providing critical
infrastructure for such efforts. As MDM programs increase in number and scope, organizations also
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seek to apply investments in data integration technology to these programs, to which the movement,
transformation and federation of master data is fundamental. Synchronization of data between
operational applications and across enterprise boundaries (between trading partners or between on-
premises and cloud-based applications) also represents an area of growth. Increasingly, end-user
organizations are deploying data integration services beneath, and in support of, wider SOA initiatives.
The Customer Experience of Support and Service Is a High Priority
The customer experience is increasingly important to organizations when choosing vendors in terms of
overall customer service and support, pricing approaches for data integration tools, and the perception
of value relative to cost models. With reduced staff and budget, and amid mounting pressure for faster
and higher-quality delivery of solutions, buyers are demanding a superior customer service and
support experience from their technology providers. In addition to highly responsive and high-quality
technical support, customers desire direct and frequent interactions with sales teams and executives.
Buyers are also focusing strongly on the availability of skills both within a provider's installed base and
via system integrator partners, and of forums in which they can share experiences, lessons and
solutions with their peers.
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