In-Memory Computing: Leading the Fast Data Revolution

A GridGain In-Memory Computing White Paper

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In-memory computing is driving a revolution that will change human society. With solutions that allow Big Data to reside in RAM across a cluster of nodes for massive parallel processing, data insights are becoming possible at unprecedented speed and scale with costs well within reach. These new capabilities allow real-time insights from transactional data, turning Big Data into Fast Data.

Today’s in-memory computing features include:

  • Previously unattainable performance and speed
  • Scalability and availability
  • The ability to drive convergence of other data technologies
  • An Open Source framework
  • Robust capabilities
  • Suitability for both modern and legacy application architectures
  • Affordability

This white paper discusses these aspects of in-memory computing and describes ways in which the society of the future will benefit from the evolution to Fast Data.