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For Enterprise Architecture Professionals

Market Overview: In-Memory Data Platforms

In-Memory Data Grids And In-Memory Databases Are On Fire

December 26, 2014

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Why Read This Report

Enterprise architecture (EA) professionals strive to deliver technology performance and responsiveness at the fastest possible speed — the speed of real-time business. What if you could deliver your complex queries and business insights 10 times to a thousand times faster? What if your mobile application could access integrated data from many disparate sources in seconds? What technology can accelerate data processing and deliver real-time information with low latency? The answer is an in-memory data platform. Although in-memory has been around for decades, recent innovation around scale-out architecture, a high degree of automation, and lower memory prices have made it a compelling approach for all enterprises. New in-memory technologies can support new and complex mobile, web, and interactive workloads, such as real-time analytics, extreme transactions, dashboards, fraud detection, online gaming, mobile ads, and Internet of Things (IoT) apps. Enterprise architects who use in-memory data platforms to support their mission-critical apps are more likely to respond quickly to business needs, deliver new products and services, and stay ahead of the competition. This report defines in-memory data grids and in-memory databases and provides details on the 17 major vendors in the market.

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Table of Contents

  • Performance Is The Top Data Challenge For Most Enterprises
  • In-Memory Data Platforms Have Achieved Enterprise Viability
  • In-Memory Data Platforms Can Support All Types Of Workloads
  • The In-Memory Data Platform Market Is On Fire
  • The Future Of In-Memory Is Distributed Petabyte Data Fabric
  • recommendations

  • In-Memory Should Be A Part Of Your Data Strategy Going Forward

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