Analyst Report: Part 4 of 9, In-Memory Database/Grid Platforms: Removing Silos & Operationalizing Your Data

On Big Data

This is part 4 of a 9-part report, access all other parts here:

Part 1 – Data Connectors
Part 2 – Virtualized Data Layers
Part 3 – Data Integration
Part 5 – Data Warehouse Platforms
Part 6 – Business Intelligence (BI)
Part 7 – Business Intelligence on Big Data/Data
Part 8 РBig Data/Data Lake Platforms 
Part 9 –¬†Data Management and Governance

Strategy & Business Considerations

Enterprises need to analyze their data and derive insights from doing so. But many have a need for speed that requires specialized acceleration layers to make this happen. In-memory database/grid platforms provide this functionality. For some organizations, the volume of queries is such that shaving off a few seconds can be the gating factor to success of a system. In those organizations, the extra usability these products supply may make a critical difference in the internal adoption and buy-in of the analytics platform.

Table of Contents

  1. Summary
  2. Strategy & Business Considerations
  3. Technical Considerations
  4. Technology Evolution & Landscape
  5. Key Players
  6. About Andrew Brust
  7. About GigaOm

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