The need for In Memory Technologies

Subhankar PattanayakApril 2013

Market Soundbites

- Market for In Memory Technologies is 220 Billion USD by 2020*

- Major Investments by all Leading Software Vendors- HANA : Flagship product of SAP, fastest growing Product in SAP history- Oracle : Times Ten , Exalytics and Exadata- IBM : SolidDB- Microsoft : Hekaton- HP : In Memory CoE, focussed on In Memory Implementation of HANA

- Applications based on HANA- SAP : Business Suite on HANA, Analytics driven by HANA- Oracle : Oracle In-Memory Applications

* Study by Market Research Media,

Faster ProcessingData doubling @ every 18 months

A flight engine generates 10TB of Data every 30 Min

Location awareness in our Mobiles

Twitter and Facebook : 12 TB data created everyday (IPL Tweet : 40 Million and increasing)(Sentiment Data)

Youtube: 20 Hrs of video upload every minute

Email : 2.9 Million emails every second

NSE: 1 TB data in a single day

But Disc Scan speed has increased by only 10 times.

Accessing a main memory reference takes 100 nanoseconds and a simple disk seek is taking 10 milliseconds.

Falling Prices of DRAM : The price of a gigabyte of DRAM declines (on average) 32% per year

In Memory Processing is becoming Viable, Feasible and Desirable

Simpler Approach

• OLTP vs OLAP • Removing redundancies by 1 DB instance• Near real time analysis • Overhead• TCO lower

Changing the WorldHANA empowers the organizations to tackle this issue by boosting supply chain effectiveness. It enables companies with sophisticated analyses and data that are beyond the reach of traditional supplier management and spend analysis applications. The real time power of HANA enables companies to take immediate steps to ensure certainty in supply networks.

Specifically in the utilities sector, HANA with its real time analytics can process huge amount of data real time and ensure optimal distribution of energy. SAP Smart Meter Analytics powered by HANA analyzes smart meter and interval data in seconds to provide insights that were not possible before. It delivers

Powerful Customer InsightsInstantly aggregate data and analyze customer energy usage at any level of granularity and dimension

Advanced Customer SegmentationPrecisely segment customers based on consumption patterns.

3.) Real Time Inventory Analysis by HANA is the pick no.3. As demonstrated by the customer, big data analysis became easier and inputs flowed back to the system which in turn enabled higher efficiency.

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