Unconstrained Analytics in the Age of Data – Delivering High-Performance Analytics with ParAccel SMP

Actian Vectorwise Simply Fast = High performance + Affordable Cost

Christian RAZA

SEMEA Sales Director

[email protected]

XpandIT / Big Data ecosystem / November 27 2013

mailto:[email protected]

Our Vision

2 © 2013 Actian Corporation

3 3 Confidential © 2013 Actian Corporation

The Age Of Data

• “Data are becoming the new raw material of

business.“

Craig Mundie, Microsoft

• “Data tap has been turned on and will never

be turned off.”

Mike Hoskins, Actian CTO, 2013

• “You can have data without information, but

you cannot have information without data.”

Daniel Keys Moran, Writer

• “It is a capital mistake to theorize

before one has data.”

Sherlock Holmes, Sir Arthur Conan Doyle

• “Torture the data,

and it will confess to anything.”

Ronald Coase, Economics, Nobel Prize

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The Age of Data

http://www.economist.com/specialreports/displayStory.cfm?story_id=15557443&source=hptextfeature

http://www.economist.com/specialreports/displayStory.cfm?story_id=15557443&source=hptextfeature

http://blogs.actian.com/mhoskins/2013/07/10/survive-and-thrive-in-the-age-of-data/

http://blogs.actian.com/mhoskins/2013/07/10/survive-and-thrive-in-the-age-of-data/

http://www.searchquotes.com/quotation/You_can_have_data_without_information,_but_you_cannot_have_information_without_data./149040/



http://en.wikiquote.org/wiki/Sherlock_Holmes

http://en.wikiquote.org/wiki/Sherlock_Holmes

http://en.wikipedia.org/wiki/Ronald_Coase

http://en.wikipedia.org/wiki/Ronald_Coase

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Actian Big Data Platform

© 2013 Actian Corporation

• “Data is the new oil.“

Clive Humby,

ANA Senior marketer’s summit

• “Information is the oil of the

21st century, and analytics is

the combustion engine.”

Peter Sondergaard,

SVP at Gartner

http://ana.blogs.com/maestros/2006/11/data_is_the_new.html

http://ana.blogs.com/maestros/2006/11/data_is_the_new.html

http://www.gartner.com/it/page.jsp?id=1824919

http://www.gartner.com/it/page.jsp?id=1824919

Big Data pipeline

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Actian Big Data Platform


Open Data

Shared Data

Operational Data Big Data

Reservoir

Analytic

Applications

Graph Based

Applications

Search Based

Applications

Reporting

Applications

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Extreme Reporting


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Extreme Analytic


Actian Vectorwise

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Why Vectorwise?


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Vectorwise: started with an academic project


first

colomn store DBMS

1990 1993 2005 2010

Vectorwise MonetDB MonetDBX100

• Patent USPTO #20100235335 (Peter BONCZ): Column-store database architecture utilizing positional delta tree

• Partnership with academic

• multi-core parallelism

• just-in-time compilation of predicates

• non-intrusive query execution on compressed data

• cooperative Scans

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Vectorwise


New generation

Colummn DBMS

In CPU acceleration Ingres modules

encapsulation

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Vectorwise: simplified technical integration


Connectivity

• .Net, JDBC, ODBC, PHP, Perl…

• ETL: Stambia, Talend, SyncSort, Informatica, DataStage…

• BI: BiBoard, BO, Cognos, MicroStrategy, Hyperion, JasperSoft, Pentaho, SpagoBI, TableauSoftware, YellowFin,…

• Analytics: SAS, SPSS, RapidMiner, RevolutionAnalytics,…

Standard SQL

• No proprietary SQL

• Support de ANSI SQL-92

DBA tools

• Actian Director

• BackUp / Restore

• Utilitaires Load/Unload (copy, vwload)

Benchmark


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Benchmark TPCH : 3 world records


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Benchmark TPCH: Vectorwise VS MS SQL Server


TPCH 1TB MS SQL Server Ingres VectorWise

CPU Type:Intel Xeon Processor E7-8870

2.40GHzIntel Xeon E7-8837 2.67GHz

Server: IBM System x3850 X5 8P Dell PowerEdge R910

Total # of Processors: 8 4

Total # of Cores: 80 32

Database ManagerMicrosoft SQL Server 2008 R2

Enterprise EditionVectorWise 1.6

Operating SystemMicrosoft Windows Server 2008 R2

Enterprise EditionRedHat Enterprise Linux.6.1

Total Storage/Database Size Ratio: 7.00 2.34

Metric 173,962 QphH@1000GB 436,789 QphH@1000GB

Price/Performance 1.37 USD per QphH@1000GB .88 USD per QphH@1000GB

Availability Date 20-May-2011 30-Jun-2011

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Benchmark TPCH: Vectorwise VS Oracle


TPCH 1TB Oracle Ingres VectorWise

CPU Type: SPARC64 VII+ 3000MHz Intel Xeon E7-8837 2.67GHz

Server: SPARC Enterprise M8000 Server Dell PowerEdge R910



Database ManagerOracle Database 11g R2 Enterprise

Edition with PartitioningVectorWise 1.6

Operating System Oracle Solaris 10 RedHat Enterprise Linux.6.1




Availability Date 22-sept.-11 30-Jun-2011

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Benchmark TPCH: Vectorwise VS SybaseIQ


TPCH 1TB Sybase IQ Ingres VectorWise

CPU Type: AMD Opteron 8439 SE 6-Core 2.8GHz Intel Xeon E7-8837 2.67GHz

Server: IBM Power 780 Model 9179-MHB Dell PowerEdge R910



Database ManagerSybase IQ Single Application Server

Edition v.15.1 ESD #1VectorWise 1.6

Operating System Red Hat Enterprise Linux 5.3 RedHat Enterprise Linux.6.1




Availability Date 01-Feb-2011 30-Jun-2011

Reporting / Dashboard


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Customer Benchmark: Vectorwise VS Teradata


o This performance benchmark was performed by Leroy Merlin France to evaluate DBMS during a massive workload (load test duration: 1 hour). o The target workload represents the reporting/dashboard activity of 10 000 sales force between 08:00 and 09:00 AM of. The peak workload was estimated at 600 concurrent users which gives 1200 queries per minute.

o Vectorwise VS Teradata benchmark:

• Vectorwise 2.5 / Linux / 8-Core / 32 Go RAM • Teradata 6680 with 2 active nodes and SSD (24-core / 192 GB RAM)

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o Result #1:

• Vectorwise was faster than Teradata on all single query runs o Result #2 :

• Vectorwise was 2x faster than Teradata at 50 queries / minute o Result #3 :

• With Vectorwise between 1 and 30 queries / minute, queries are running as fast as in single run

oResult #4:

• At 70 concurrent users (140 queries / minute), Teradata was 100% full • Vectorwise reach the target of 600 concurrent users (1200 queries / minute) • Vectorwise was loaded up to 2000 queries / minute during 2:30 hours (35% queries were in time out)

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Booster application


24

Booster application


25

Booster application


26

Booster application


Big Data


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Iscool Entertainment


29

Social Gaming


30

Big Data


31

Big Data Analysis


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Technical architecture


Vectorwise users


Vectorwise users


http://www.qvantel.com/

Conclusion


The Age Of Data

Turning Data into Action

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“Data matures like wine, applications like fish.” - James Governor

http://redmonk.com/jgovernor/2007/04/05/why-applications-are-like-fish-and-data-is-like-wine/

Actian Corporation


70’s


70’s

Tandem NonStop SQL

HP Allbase

Cullinet

Britton-Lee

Wang PACE

CA-Universe

Teradata

Informix


Ted Codd

1970 1980 1990 1995

Michael Stonebraker

UC Berkeley

IBM

System R

Oracle

Ingres

Sybase

MS SQL

MySQL

PostgreSQL

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Actian: 30-year old start up


• +30 years of DBMS experience UC Berkeley, Relational Technology Inc., Ingres Corporation, Ask Group, Computer Associates, Ingres Corporation

• Independent since 2006 Ingres became Actian in 2011

• +10 000 customers in 58 countries

• 150 M$ of revenue

• Profitable, +30 M$ of cash

• 500 employees

• 3 acquisitions between December 2012 and April 2014

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infringement.

41 Confidential © 2013 Actian Corporation