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Executive Summary

Every now and then, a technology comes along that changes the way we live and work

in a fundamental way—the personal computer, mobile computing, and the Internet are

classic examples. In-memory computing has the potential to drive comparable levels of

game-changing innovation. By allowing businesses to filter and analyze vast amounts

of data in fractions of a second, it enables real-time, data-driven decision making based

on all relevant data.

Early adopters are already using in-memory computing to redefine the competitive

landscape in their industries. A global enterprise closes its books in just seconds, a retailer

adapts prices and inventory levels based on real-time sales trends, and an equipment

manufacturer provides worldwide customers with predictive field maintenance to improve

productivity. These are just a few examples out of many. Thousands of companies have

implemented in-memory computing, and many are doing things that would not otherwise

be possible.

Ultimately, in-memory computing will not be an alternative to traditional solutions.

It will simply be the way computing is done. Real-time analysis of massive data sets

will be a common-place capability. Until then, when and how companies begin their

transition to in-memory computing and real-time business intelligence (BI) will be an

increasingly critical business decision.

This paper explores the technologies that have come together to make in-memory

computing both technically possible and economically feasible. It discusses several current

and upcoming in-memory database solutions, and then focuses on Intel® processor and

platform innovations—such as the Intel® Xeon® processor E7 v2 family—that are helping

businesses achieve leadership performance and mission-critical availability for in-memory

computing using cost-effective, industry-standard computing platforms.

Robert Shiveley

Datacenter Software

Marketing Manager,

Intel Corporation

“It’s not going to happen

overnight. But within the next

15 years, you will run your whole

operation in memory.”

– Donald Feinberg, Gartner VP and

Distinguished Analyst, April 2013

Changing the Way Businesses

Compute…and Compete

In-Memory Computing and Real-Time Business Intelligence

White Paper

Intel® Xeon® Processor E7 v2 Family

In-Memory Computing

Summary of content (8 pages)

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White Paper Intel® Xeon® Processor E7 v2 Family In-Memory Computing Changing the Way Businesses Compute…and Compete In-Memory Computing and Real-Time Business Intelligence Executive Summary Every now and then, a technology comes along that changes the way we live and work in a fundamental way—the personal computer, mobile computing, and the Internet are classic examples. In-memory computing has the potential to drive comparable levels of game-changing innovation.
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Changing the Way Businesses Compute…and Compete Table of Contents The “Big Data” Challenge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Harnessing Big Data with In-Memory Computing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 The Power of Real-Time Business Intelligence. . . . . . . . . . . . . . . . . . . . . . . . . . . .
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Changing the Way Businesses Compute…and Compete The “Big Data” Challenge The term big data refers to the growing flood of data in today’s hyperconnected world, and to the enormous challenges and opportunities this data presents. In a very real sense, however, data has been too big for decades. Since the first Intel processor was launched more than forty years ago, the data access speeds of bulk storage systems have not kept pace with processor capability.
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Changing the Way Businesses Compute…and Compete IN-MEMORY COMPUTING: A GAME-CHANGING PARADIGM SHIFT OTHER ENTERPRISE DATA SOURCES Traditional RDBMS A SINGLE HIGH-SPEED DATABASE FOR TRANSACTIONS AND ANALYTICS Real-Time Data Replication Big Data Integration (Apache Hadoop*) + Intel® Xeon® Processor E7 v2 Family In-Memory Database Software REAL-TIME, DATA-DRIVEN INSIGHTS AT ENTERPRISE SCALE Real-Time Ad Hoc Queries Insights available in seconds Figure 2.
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Changing the Way Businesses Compute…and Compete In-Memory Computing is Going Mainstream In-Memory Databases from Leading Vendors Dozens of software companies are delivering or developing in-memory database solutions. Approaches differ somewhat, but they tend to include many of the same core capabilities. For example, traditional databases store data in row-based tables, because that’s the most efficient format for the frequent updates required by transactional applications.
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Changing the Way Businesses Compute…and Compete The Intel Xeon processor E7 v2 family also provides up to 37.5 megabytes (MB) of third-level cache per processor and up to 50 percent more cores and threads than previous-generation processors. A foursocket server provides up to 60 cores and 120 threads for rapid execution of simultaneous transactions and large, complex queries.
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Changing the Way Businesses Compute…and Compete Big Data Integration for Massive Scalability Many businesses already need to store and analyze terabytes and in some cases petabytes of data. It is possible to build a real-time, in-memory business platform with petabyte scalability (see the sidebar, In-Memory Computing at Petabyte Scale). However, this approach is neither financially practical nor necessary for most businesses.
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Learn More Visit the following sites for more information about in-memory computing: Vendor Solutions •S AP HANA www.saphana.com/welcome • I BM DB2 with BLU Acceleration www-01.ibm.com/software/data/db2/linux-unix-windows/db2-blu-acceleration/ •O racle Database In-Memory Option www.oracle.com/us/corporate/features/database-in-memory-option/index.html •M icrosoft SQL Server In-Memory Project (code-named Hekaton) research.microsoft.com/en-us/news/features/hekaton-122012.