Download the GridGain Community Edition for Free or
Download GridGain Enterprise or Ultimate Edition for a Free 30-Day Trial
Alternatives for Downloading GridGain
Download GridGain using Maven 2 dependency management
Choose the edition:
<repositories>
<repository>
<id>GridGain External Repository</id>
<url>http://www.gridgainsystems.com/nexus/content/repositories/external</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>org.gridgain</groupId>
<artifactId>ignite-core</artifactId>
<version>8.7.6</version>
</dependency>
<dependency>
<groupId>org.gridgain</groupId>
<artifactId>ignite-spring</artifactId>
<version>8.7.6</version>
</dependency>
<dependency>
<groupId>org.gridgain</groupId>
<artifactId>ignite-indexing</artifactId>
<version>8.7.6</version>
</dependency>
<dependency>
<groupId>org.gridgain</groupId>
<artifactId>gridgain-core</artifactId>
<version>8.7.6</version>
</dependency>
</dependencies>For a full list of all available Maven modules, refer to Maven Setup in the Apache Ignite documentation.
Download GridGain using NuGet
Enterprise and Ultimate Editions
For Package Manager Console, type: Install-Package GridGain
For .NET Core CLI, type: dotnet add package GridGain
Community Edition
For Package Manager Console, type: Install-Package GridGain.Ignite
For .NET Core CLI, type: dotnet add package GridGain.Ignite
Use NPM to include GridGain in your Node.JS project
UNIX
sudo npm install -g apache-ignite-clientWindows
npm install -g apache-ignite-clientUse `pip` to install the Python thin client package for GridGain
pip3 install pygridgainGridGain Data Lake Accelerator
For Real-Time Analytics Across Data Lake and Operational Data
The GridGain Data Lake Accelerator allows you to perform real-time analytics across combined data lake and operational data using the GridGain Enterprise or Ultimate Edition in-memory computing platform. Using GridGain as an HTAP (also known as HOAP or Translytical) platform, the system leverages Apache Spark and native API connectors to run federated queries across both operational and archived data.