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

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Actian Vectorwise Simply Fast = High performance + Affordable Cost

Christian RAZA

SEMEA Sales Director

christian.raza@actian.com

XpandIT / Big Data ecosystem / November 27 2013

Our Vision

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

The Age of Data

Actian Big Data Platform

• “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

Big Data pipeline

Actian Big Data Platform

Open Data

Shared Data

Operational Data Big Data

Reservoir

Analytic

Applications

Graph Based

Applications

Search Based

Applications

Reporting

Applications

Extreme Reporting

Extreme Analytic

Actian Vectorwise

Why Vectorwise?

Vectorwise: started with an academic project

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

Vectorwise

New generation

Colummn DBMS

In CPU acceleration Ingres modules

encapsulation

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

Benchmark TPCH : 3 world records

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

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

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

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)

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)

Booster application

Big Data

Iscool Entertainment

Social Gaming

Big Data

Big Data Analysis

Technical architecture

Vectorwise users

Conclusion

The Age Of Data

Turning Data into Action

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

Actian Corporation

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

System R

Oracle

Ingres

Sybase

MS SQL

PostgreSQL

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

Disclaimer

This document is for informational purposes only and is subject to change at any

time without notice. The information in this document is proprietary to Actian and

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