Powering Analytics with In-Memory DBMS -

EMA Comparative Analysis of Kognitio Analytical Platform, SAP HANA & Oracle TimesTen

Web Seminar 26 March 2013

Web Seminar

Download the full white paper • www.kognitio.com/emacompinmem

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Kognitio sponsored this work by Enterprise Management Associates to delve into a comparative analysis of in-

memory database platforms

Slide 2

EMA Presenter: John Myers

John Myers joined Enterprise Management Associates in 2011 as senior analyst of the business intelligence (BI) practice area. John has 10+ years of experience working in areas related to business analytics in professional services consulting and product development roles, as well as helping organizations solve their business analytics problems, whether they relate to operational platforms, such as customer care or billing, or applied analytical applications, such as revenue assurance or fraud management.

John L Myers Enterprise Management Associates Senior Analyst

@johnlmyers44

http://blogs.enterprisemanagement.com/johnmyers/ Slide 3

Kognitio: Paul Groom

In this role, he leads the pre-sales technical consulting team and is crucial to the development of Kognitio as a fully-integrated analytical platform. Paul has 20+ years' experience working with on Very Large Databases (VLDBs) with in depth knowledge of databases and data warehouse technologies. He began his career on a database research project at the UK national mapping agency, Ordnance Survey, followed by five years as a Lead Systems Engineer providing pre- and post-sales technical support in the UK and Europe within the then-leading vendors of database machines: Britton Lee (ShareBase), and Teradata/NCR.

Paul Groom Chief Innovation Officer Kognitio

@Kognitio

http://kognitio.blogspot.com/

Paul Groom is responsible for the Kognitio Analytics Center of Excellence, a group that includes some of the world's finest experts in business analytics, data warehousing and business intelligence.

Slide 4

Agenda • EMA Comparative Analysis

– EMA Business Intelligence Continuum – Data Management Functional Segments

• Implementation Infrastructure • Scale and Sizing • Security • Support

– Evaluation Results • Kognitio Analytical Platform

– Maturity, R&D yields significant experience – What in-memory means for business applications

• Summary • Question and Answer

Slide 5

EMA Comparative Analysis

Slide 6 © 2013 Enterprise Management Associates, Inc.

EMA Business Intelligence Continuum

Slide 7 © 2013 Enterprise Management Associates, Inc.

EMA Business Intelligence Continuum: Data Management Functional Segments

• Implementation Infrastructure

• Scale and Sizing • Support

• Data Loading • Logical Data Layout • Data Processing • Data Access

Slide 8 © 2013 Enterprise Management Associates, Inc.

Evaluated Platforms

• Kognitio Analytical Platform • Kognitio MDX Provider

• Oracle TimesTen In-Memory Database (TimesTen) 11g Release 2 (11.2.2) • Including Oracle In-Memory Database Cache (IMDB Cache) 11g

Release 2 (11.2.2)

• SAP HANA SPS 05 • Including SAP BusinessObjects Data Services XI 4.0 (14.0.0)

Slide 9 © 2013 Enterprise Management Associates, Inc.

Data Load

Slide 10 © 2013 Enterprise Management Associates, Inc.

Logical Data Layout

Slide 11 © 2013 Enterprise Management Associates, Inc.

Data Processing

Slide 12 © 2013 Enterprise Management Associates, Inc.

Data Access

Slide 13 © 2013 Enterprise Management Associates, Inc.

Implementation Infrastructure

Slide 14 © 2013 Enterprise Management Associates, Inc.

Scale and Sizing

Slide 15

Security

Slide 16 © 2013 Enterprise Management Associates, Inc.

Support

Slide 17 © 2013 Enterprise Management Associates, Inc.

The Proven Analytical Platform for Big Data

Paul Groom Chief Innovation Officer

Kognitio

Kognitio is focused on providing the premier high-performance analytical platform to power business insight

around the world

• Kognitio invented the in-memory analytical platform, first taking it to market in 1989

• Privately held • Labs in the UK - HQ in New York, NY

In-memory: true parallelism = MPP + CPU

• Combine the RAM of many individual servers • many CPU cores spread across • many CPUs, housed in • many individual computers (1 to 1000+)

Many

• Every CPU core in • Every server needs to efficiently involved in • Every query

Every

Analytical Platform Reference Architecture

Applications for in-memory analytical platforms

Universal/Flexible Connection Layer • Standardize connections without custom coding • Data governance and standarization

Engage Big Data and enable Hadoop

Analytical Acceleration • Turbo-charge and complement existing applications • Real-time, full data volume, new sources, cross-correlation

Data Science Lab Functionality • Build an analytical sandbox for data discovery/insights • Intersection of mathematics, compute capacity and data

Summary and Question and Answer

Summary • EMA Comparative Analysis

– EMA Business Intelligence Continuum – Data Management Functional Segments

• Implementation Infrastructure • Scale and Sizing • Security • Governance

– Evaluation Results • Kognitio Analytical Platform

– Pioneer of in-memory technology – Maturity, scaling and price/performance – Business and use cases for in-memory analytics

Slide 24

Question and Answer

Questions

• An archived version of the event recording will be available at www.kognitio.com

• Also find details and the comparative analysis white paper itself at:

www.kognitio.com/EMAcompinmem

• Log questions in the Q&A panel located on the lower right corner of your screen

• Questions will be addressed during the Q&A session of the event

Event recording

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http://www.enterprisemanagement.com/search | Kognitio

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