A distributed in-memory data fabric/grid with the ability to persist data to disk, supporting a number of use cases including a key value store (with SQL support), real time stream/event processing engine, arbitrary compute, long running service management, an in-memory HDFS compatible file system for acceleration of Hadoop jobs, an in-memory machine learning grid and in-memory shared Spark RDDs and Data Frames. An Apache project, graduating in September 2015, having been originally donated by GridGain from their In-Memory Data Fabric product launched in 2007. Java based, with development lead by GridGain who supply commercial support for Ingite, as well as a range of Ignite based products and services including GridGain Professional (with ongoing Q&A and bug fixes before they're included in Ignite), GridGain Enterprise and Ultimate (which includes extra features such as a management GUI, enterprise security, rolling upgrades, backup and recovery) and GridGain Cloud (beta).
Other Names Ignite, GridGain Vendors The Apache Software Foundation, GridGain Type Commercial Open Source Last Updated February 2019 - v2.7
Is packaged by Apache Bigtop
version release date release links release comment 1.9 2017-03-07 Ignite announcement GridGain Professional announcement 2.0 2017-05-05 Ignite announcement GridGain Professional announcement post on upgrading to 2.0 or 2.1 2.1 2017-07-27 Ignite announcement Adds persistent storage of data held in memory - see post 2.2 2017-09-21 Ignite announcement 2.3 2017-11-01 Ignite announcement 2.4 2018-03-15 Ignite announcement; GridGain Professional announcement Machine Learning GA; Spark DataFrames 2.5 2018-05-31 Ignite announcement 2.6 2018-07-18 Ignite announcement 2.7 2018-12-06 Ignite announcement; Ignite blog; GridGain Professional blog; Vulnerabilities Fixes TensorFlow integration; Encryption at Rest