In-Memory Database

Ultimate Data Platform

OLAP/OLTP IN MICROSECONDS
USING SQL, MONGODB, MAPREDUCE
FASTEST DISTRIBUTED ACID

In-Memory Database key innovations:

  • Brings Computations To Data
  • Supports SQL, K/V, MongoDB, MPP, MapReduce

In-Memory Databases (IMDB) store their data in-memory as opposed to traditional Database Management Systems that utilize disk as their primary storage mechanism. By utilizing system memory rather than spinning disk or flash devices, IMDBs are typically orders of magnitude faster than traditional DBMS systems.

Simple ⋅ Powerful ⋅ Fast

Keeping data in memory is not the only reason why IMDBs generally perform faster than disk-based databases. The main reason for performance difference is in the actual architecture. IMDBs are specifically designed with memory-first-disk-second architecture where memory is utilized as a primary storage and disk is secondary storage.

Open Source

GridGain open-source project is licensed under Apache 2.0 and is hosted on GitHub where you can review code, learn GridGain internals, and file and review issues.

  Fork me on GitHub

GitHub repo: https://github.com/gridgain/gridgain
Open source website: www.gridgain.org

Enterprise Editions








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Please provide a valid phone number and email to contact you. If you have any questions please contact us at sales@gridgain.com
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