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ID Number: G00237197

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Taxonomy, Definitions and Vendor Landscape for In-Memory Computing Technologies
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19 September 2012
 
Massimo Pezzini   W. Roy Schulte   Donald Feinberg   James Richardson   Roxane Edjlali   Joseph Unsworth   Andrew Norwood   Carl Claunch  

Companies are adopting in-memory computing technologies to meet the demand for faster performance and greater scalability fostered by the Nexus of Forces in the mobile, social, cloud and big data arenas. IT leaders can use our taxonomy to better understand IMC and when to adopt it.






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Pages: 21
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Table of Contents

Contents
  • Analysis
    • What You Need to Know
    • Gartner Taxonomy of In-Memory Computing Technologies
    • In-Memory Computing Market
    • Core Technology Enablers
      • Main Memory — DDR4 DRAM
      • SSD and Flash Memory
      • System Architecture
    • Application Infrastructure Enablers
      • Analytical In-Memory DBMS
      • So far, the major barriers to adoption of the technology have been:
      • In-Memory DBMS for OLTP
      • In-Memory Data Grids
      • High-Performance Message Infrastructure
      • IM Analytics
      • Complex-Event Processing Platforms
      • In-Memory Application Servers
  • Recommended Reading
Figures
Figure 1.
Traditional Computing vs. In-Memory Computing
Figure 2.
Gartner Taxonomy of In-Memory Computing Technologies

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