Developer Portal

What is GridGain?

The highest performance and most reliable in-memory computing platform for mission-critical applications.

GridGain powers the digital enterprise with an in-memory computing platform built on Apache® IgniteTM that provides in-memory speed and massive scalability for data-intensive applications.

Distributed Key-Value

Read, write and transact with the fastest available key-value open source in-memory data grid.

Key-value APIs and support for a wide variety of languages makes it straightforward to implement GridGain.

Memory-Centric Storage

Process distributed data stored across memory and disk.

Store all data only in memory or store all data on disk and hold only a portion of data in memory but process against the whole data set.

Collocated Processing

Computations are sent to the cluster nodes to increase speed and minimize data movement.

Deploy your code on the cluster nodes and leverage the performance advantages of massively parallel processing.

Distributed SQL

A distributed computing solution with ANSI-99 SQL support including joins across nodes.

The only in-memory data grid with SQL support and the ability to function as a relational, in-memory database.

Production Monitoring

Monitoring tools available online or for download and local install to monitor and manage your cluster.

Use the downloadable GridGain Management Console or the free, online GridGain Web Console.

Multi-Datacenter Replication

Ensure high availability with replication of your data across multiple datacenters.

Support for datacenter replication is available in the GridGain Enterprise and Ultimate Edition.

Machine and Deep Learning

Train machine learning models in-memory or easily leverage TensorFlow.

Using the Continuous Learning Framework, machine and deep learning models can be trained on your operational data set.

ACID Transactions

Configurable ACID transaction compliance across data sets.

Multiple ACID compliance options, from strict to eventual, allow you to tune performance for your specific use case.

GridGain Control Center

A comprehensive, customizable cluster management and development tool for GridGain and Apache Ignite with a customizable, drag-and-drop dashboard, user-definable production alerts, query development tools, active tracing and root cause analysis, and more

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Recent Technical Blogs

Check out the latest technical blogs from GridGain technical experts

Apache Ignite can scale horizontally to accommodate the data that your applications and services generate. If your in-memory cluster is about to run out of memory space, you can take advantage of horizontal scaling, which is one of Ignite’s foundational architectural capabilities. The “throw more resources into the cluster” approach is an often-heard piece of advice.

Apache Ignite Deployment Patterns

The Apache Ignite® in-memory computing platform comprises high-performance distributed, multi-tiered storage and computing facilities, plus a comprehensive set of APIs, libraries, and frameworks for consumption and solution delivery (all with a “memory first” paradigm).

Note: This is the third and final post in the blog series: Continuous Machine Learning at Scale With Apache Ignite. For post 1 click here and for post 2 click here.

Events for Developers

Attend upcoming developer-focused events in your area

In-Memory Computing Summits

Attend the only conferences that focus on the full range of in-memory computing technologies