In Memory Computing The Next Big Thing Is Already Here

Jan 30, 2014

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RECENT SURVEY

GROWING THE DEMAND FOR SCALABLE DATA SOLUTIONS

Same Research indicated that one of the biggest technical challenges in Big Data is the lack of real-time capabilities (67%).

The report also indicated that many of the organizations are planning to use in-memory databases (40%) as part of their Big Data stack. This places the In-Memory Database as a second choice, before specialised DBMS (33%) and Hadoop (32%).

REAL TIME ANALYSIS OF BIG DATA

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GROWING THE DEMAND FOR SCALABLE DATA SOLUTIONS

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MARKET TRENDS

In Memory Computing is in Granter’s top 10 technology trends for 2013

“In memory computing (IMC) … provides transformational opportunities. The execution of

certain-types of hours-long batch processes can be squeezed into minutes or even seconds …

Millions of events can be scanned in a matter of a few tens of millisecond to detect correlations and patterns

pointing at emerging opportunities and threats "as things happen.”

IN MEMORY IS MORE ECONOMICAL THAN BEFORE

CHALLENGES: REAL-TIME BUSINESS INSIGHTS

Current architectures

Perform complex calculations in real time to improve your business performance, e.g. recommendations/promotions in an e-commerce web site, instant risk analysis / reconciliation in investment banks (STP)

IMC FOUNDATIONS

Ultra High Performance

High Availability

Linear Scalability

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THE REAL-TIME IMC APPLICATION PLATFORM

Handle Peak Loads

Improve Performance

Ensure Business Continuity

Reduce TCO

Get Real-Time Business Insights

GIGASPACES XAP WITHIN THE BIG DATA STACK

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