The GridGain(R) In-Memory Computing Platform, built on Apache(R) Ignite(TM), enables you to dramatically accelerate and scale out your data-intensive applications without ripping and replacing your existing databases. GridGain delivers massive scalability and tremendous speed, managing data from multiple databases. Query times are up to 1,000x faster than systems built on disk-based databases. You can easily scale out your GridGain instance to support petabytes of in-memory data by adding new nodes to your cluster. GridGain includes an in-memory data grid, in-memory database, streaming analytics, and a continuous learning framework.

You can modernize your data-intensive architecture by inserting GridGain between your existing application and data layers. GridGain works seamlessly with RDBMS, NoSQL and Hadoop databases. It features a unified API which supports SQL, C++, .NET, PHP, MapReduce, JAVA/Scala/Groovy, and Node.js access for the application layer. GridGain can run on premises, in a hybrid environment, or on the AWS or other public cloud platforms.