Cloud Data Brief _ Presentation Slides

5 TRENDS IN DATA

How and Where Data is Shifting to the Cloud

Before we jump in...

Marshall Daly

Cloud @Tableau

Now let’s jump in

5 Data Trends from The Cloud Data Brief

114#

Rela%onal(zone(

Non+rela%onal(zone(

Lotus#Notes#

Objec/vity#

MarkLogic#

InterSystems#Caché#

McObject#

Starcounter#

ArangoDB#

Founda/onDB#

Neo4J#

InfiniteGraph#

CouchDB#

Oracle#NoSQL#

Redis#

Handlersocket#

##RavenDB#

RethinkDB#Google#App##

Engine#Datastore#LevelDB#

Accumulo#

Cassandra#

HBase#

Riak#

Couchbase#

Splice#Machine#

Ac/an#Ingres#SAP#Sybase#ASE#

EnterpriseDB#

SQL##Server#

MySQL#

Informix#MariaDB#

SAP##HANA#

#IBM#DB2#

Database.com#

ClearDB#

Google#Cloud#SQL#

Rackspace#Cloud#Databases#

AWS#RDS#

Azure#SQL#Database#

FathomDB#

HP#Cloud#RDB##for#MySQL#

StormDB#

Teradata##Aster#

HPCC#

Cloudera#

Hortonworks#MapR# IBM##BigInsights#

ZeWaset#

NGDATA#

Infochimps#Metascale#

Mortar#Data#

Rackspace#

Qubole#

Voldemort#

Aerospike#

Teradata#

IBM#PureData#for#Analy/cs#

Pivotal#Greenplum#HP#Ver/ca#

SAP#Sybase#IQ#

IBM#InfoSphere#

Ac/an#Vector#

XtremeData#

Kx#Systems#

Exasol#

Ac/an#Matrix#

ParStream#TokuDB#

ScaleDB#

ScaleArc#

Con/nuent#TransLa[ce#

NuoDB#

Drizzle#

JustOneDB#

Pivotal#GemFire#XD#

Galera#

ScaleBase#

Zimory#Scale#

Clustrix#

Tesora#

MemSQL# GenieDB#

Datomic#YarcData#

FlockDB#

Allegrograph#HypergraphDB#

AffinityDB#

Giraph#

Trinity# MemCachier#

Redis#Labs#Memcached#Cloud#

FairCom#

BitYota#

IronCache#

Grid/cache(zone(Memcached#

Ehcache#

ScaleOut#So^ware#

IBM##eXtreme##Scale#

Oracle##Coherence#

GigaSpaces#XAP#GridGain#

Pivotal#GemFire#

CloudTran#

InfiniSpan#

Hazelcast#

Oracle#Exaly/cs#

Oracle#Database#

MySQL#Cluster#

Oracle##Endeca#Server# A[vio#

Elas/csearch#

LucidWorks#Big#Data#

Lucene/Solr#

IBM#InfoSphere##Data#Explorer#

Towards(E*discovery(

Towards(enterprise(search(

Documentum#xDB#

Tamino#XML#Server#

Ipedo#XML#Database#

ObjectStore#

LucidDB#

MonetDB#

Metamarkets#Druid#

Databricks/Spark#

AWS#Elas/Cache#

#

Firebird#

SciDB#SQLite#

Oracle#TimesTen#solidDB#

Adabas#

IBM#IMS#

UniData#

UniVerse#

WakandaDB#

Al/scale#

Oracle#Big##Data#Appliance#

RainStor#

OrientDB#

Sparksee#

Metamarkets#

Treasure#Data#

PostgreSQL#Percona#

vFabric#Postgres#

©#2014#by#451#Research#LLC.##All#rights#reserved##

HyperDex#

TIBCO#Ac/veSpaces#

Titan#

SAP#Sybase#SQL#Anywhere#

JethroData#

CitusDB#

Pivotal#HD/HAWQ#

BigMemory#

Ac/an#Versant#

DataStax#Enterprise#

DeepDB#

Infobright#

FatDB#

Google#Cloud#Datastore#

Heroku#Postgres#

GrapheneDB#

Cassandra.io#

Hypertable#

BerkeleyDB#

Sqrrl#Enterprise#

Microso^#HDInsight#

HP#Autonomy#

Oracle#Exadata#

IBM##PureData#

IBM#Big#SQL#

Impala#

Apache#Drill#

Presto#

Microso^#SQL#Server#

PDW#

Apache#Tajo#

Apache#Hive#

SPARQLBASE#

MammothDB#

Al/base#HDB#LogicBlox#

SRCH2#

TIBCO#LogLogic#

Splunk#

Towards(SIEM(

Loggly# Sumo#Logic#Logentries#

InfiniSQL#

JumboDB#

Ac/an#PSQL#Progress#OpenEdge#

Kogni/o#

Al/base#XDB#

Savvis#

So^layer#Verizon#

xPlenty#

Stardog#

MariaDB#Enterprise#

Apache#Storm#Apache#S4#

IBM#InfoSphere#Streams#

TIBCO#StreamBase#

DataTorrent#

AWS#Kinesis#

Feedzai#

Guavus#Lokad#

SQLStream#

So^ware#AG#

Key:((General#purpose#

Specialist#analy/c#

BigTables#

Graph#Document#Key#value#stores#

easeaeService#

Key#value#direct##access#Hadoop#

MySQL#ecosystem#

Advanced##clustering/sharding#New#SQL#databases#

Data#caching#

Data#grid#

Search#

Appliances#

Inememory#

Stream#processing#

OpenStack#Trove#

1010data#

Google##BigQuery#

AWS#Redshi^#

TempoIQ#

InfluxDB#WebScaleSQL#

MySQL#Fabric#Spider#

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TeSystems#

E#

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B

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2# 4#3# 5#

SQream#

SpaceCurve#

PostgreseXL#

Google#Cloud##Dataflow#

Trafodion# Hadapt#

Azure#Search#

Red#Hat#JBoss#Data#Grid#

6#5#4#

MongoDB#

Cloudant#

Iris#Couch#MongoLab#

Compose#

ObjectRocket#

CloudBird#

Azure#DocumentDB#

1# 3#

1# 6#

Data Platforms

Map October 2014

https://451research.com/

dashboard/dpa

CockroachDB#

AWS#DynamoDB#

Redisetoego#

AWS#SimpleDB#

Redis#Labs#Redis#Cloud#

RedisGreen#

AWS#Elas/Cache#with#Redis#

MagnetoDB#

ObjectRocket#Redis#

##TokuMX#

VoltDB#

CortexDB#

CodeFutures#

Oracle#Big##Data#Cloud#

AWS#EMR#

Google##Compute#Engine#

Stra/o#

451 ResearchData Platforms Map

Gartner’sMagic Quadrant for Data Warehouse and Management Solutions for Analytics

FirstMark’sBig Data Landscape

RightScale’sState of the Cloud Report

"This past year was pivotal in both our own transformation and in partnering with our customers who are navigating their own digital transformations.”

Satya Nadella, Chief executive officer at Microsoft

How do we get an accurate pulse on the market?

• 1 million+ anonymous data source connections

• 4,000+ customers spanning nearly every industry and varying from small businesses to enterprise corporations

• A sample indicative of usage patterns and trends in the market

Trend #1Data storage is expanding beyond our traditional concepts of the database

*Excluding file-based sources like Excel and business-specific web applications like Salesforce and Google Analytics.

All Data Source Connections

*Excluding file-based sources like Excel and business-specific web applications like Salesforce and Google Analytics.

Databases as a Service

*Excluding file-based sources like Excel and business-specific web applications like Salesforce and Google Analytics.

Hadoop products

*Excluding file-based sources like Excel and business-specific web applications like Salesforce and Google Analytics.

Open source

*Excluding file-based sources like Excel and business-specific web applications like Salesforce and Google Analytics.

Deployed in the cloud

*Excluding file-based sources like Excel and business-specific web applications like Salesforce and Google Analytics.

Deployed on-premise

Trend #2Data is consistently moving to the cloud

Data Source Connections By Deployment

What’s driving growth of cloud data sources?

• New companies born in the cloud

• New sources of data that require highly scalable environments

• Devices like phones and tablets are increasingly used to accomplish business tasks

Trend #3Cloud data is growing, but hybrid options

remain critical

Data Source Connections By Type

Why are hybrid data sources so prevalent?

• Data demands storage behind a firewall

• Supports an incremental move to the cloud

Trend #4Hybrid data technologies are also moving

towards cloud deployment

Hybrid Data Source Connections By Deployment

SQL Server

Oracle

MySQL

PostgreSQL

Trend #5Analytics are following data to the cloud

Diverging Data Source Connections

Diverging Data Source Connections

Data Gravity

Image credit: Dave McCrory

More Resources

• Consider if cloud-based business intelligence is right for you:→ www.tableau.com/learn/whitepapers/why-business-analytics-cloud

• Learn how to moveyour analytics to the cloud: → www.tableau.com/learn/whitepapers/6-strategies-transitioning-cloud

• Stay current on cloud trends:

→ www.tableau.com/learn/whitepapers/top-10-cloud-trends-2016

We help people see and understand their data, including on-premise or in the cloud.

→ Get the full report at: www.tableau.com/CloudDataBrief