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In-Memory Computing uses high-performance, integrated, distributed memory systems to compute and transact on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

GridGain’s In-Memory Data Fabric is designed to deliver uncompromised performance for a widest set of in-memory computing use cases from high performance computing, to the industry most advanced data grid, to streaming and plug-n-play Hadoop accelerator:

Natively distributed, ACID transactional, MVCC-based, SQL+NoSQL, in-memory object key-value store. The only in-memory data grid proven to scale to billions of transactions per second on commodity hardware.

Massively distributed processing meets Complex Event Processing (CEP) and Streaming Processing with advanced workflow support, windowing, user-defined indexes and more.

Combination of In-Memory File System 100% compatible with Hadoop HDFS and In-Memory MapReduce delivering 100x performance increase. Minimal integration, plug-n-play acceleration with any Hadoop distro.

The easiest way to get started with GridGain in your project is to use Maven dependency management:

Fabric edition includes all GridGain functionality except for hadoop accelerator.

<dependency>
    <groupId>org.gridgain</groupId>
    <artifactId>gridgain-fabric</artifactId>
    <version>${gridgain.version}</version>
    <type>pom</type>
</dependency>

Following editions are supported for legacy downloads and projects started before Fabric edition has been introduced. It is strongly recommended to use Fabric edition.

HPC edition includes all GridGain functionality except for data grid, streaming and hadoop accelerator.

Data Grid edition includes all GridGain functionality except for streaming and hadoop accelerator.

Streaming edition includes all GridGain functionality except for data grid and hadoop accelerator.

You can copy and paste this snippet into your Maven POM file. Make sure to replace version with the one you need.

Grab the latest binary release and current documentation at www.gridgain.com

Use GitHub issues to file bugs.

GridGain is available under Apache 2.0 license.

Copyright (C) 2007-2014, GridGain Systems, Inc. All Rights Reserved.