In this special technology white paper, In-Memory Computing: Leading the Fast Data Revolution, you’ll learn how the in-memory computing industry stands on the cusp of a fast data revolution that will greatly change the way human beings live their lives. With middleware software that allows data to be stored in RAM across a cluster of computers and processed in parallel, data processing is now becoming possible at an unprecedented speed and scale — with costs well within reach.
Even fairly recently, in-memory computing has often required very costly hardware to obtain reasonably competitive results. For example, combining an Oracle database with millions of dollars of hardware might provide 20 million transactions per second today. In contrast, the current version of GridGain software with about $25,000 worth of hardware (ten commodity blades, each configured with about a hundred gigabytes of RAM) can provide one billion transactions per second.
In this white paper you’ll discover aspects of in-memory computing in detail along with a description of how the society of the future will depend on the capabilities it provides. Over the next few years, in-memory computing technology will be an integral part of changes that are dramatically transforming the world.
The white paper includes the following sections:
- Low Cost Meets Exploding Demand
- Scalable and Available
- Driving Convergence of Data Technologies
- Part of the Open Source Revolution
- Breaking through Previous Limitations
- Meeting the Needs of Modern Apps and IT
- A Future Built on In-Memory Computing
The In-Memory Computing: Leading the Fast Data Revolution white paper is available for download in PDF from the insideAI News White Paper Library, courtesy of GridGain Systems.
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