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GridGain’s In-Memory Computing Technology Accepted into Apache Incubator Program as “Apache Ignite”


The GridGain In-Memory Data Fabric has been accepted into the Apache Incubator program under the name “Apache Ignite.” The company says the goal of the contribution to the Apache Software Foundation (ASF) is to ensure that the software remains broadly available, and to help fuel community support for in-memory computing.

“GridGain which has been developing an in-memory data processing framework for real-time transactional and analytical use cases for many years. Hundreds of organizations around the globe now use its proven open source technology under the Apache 2.0 license,” said Nikita Ivanov, founder of CTO of GridGain, in a blog announcing the contribution. “This work has culminated in the recent release of its application- and data-agnostic GridGain In-Memory Data Fabric. GridGain’s in-memory data fabric code base shares the goals of easy accessibility and free redistribution with other memory-centric, open source data exchange frameworks that have emerged - most notably the Apache Spark project in the Hadoop world.”

GridGain will continue to be a contributor to the Ignite code base while also adding enterprise-grade features to its commercial product. The platform’s core code will be managed by the non-profit ASF.

The community-driven adoption of open source in-memory data fabric technology will help support the development of new transactional, analytical and hybrid real-time applications that will enable all organizations including small ones to gain a competitive advantage, said Ivanov. "We believe Apache Ignite has all the right ingredients to become for the Fast Data world of the future what Hadoop is for big data today."


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GridGain Systems, provider of open source and commercial in-memory data fabric solutions, is introducing a new release of the GridGain In-Memory Data Fabric Enterprise Edition built on Apache Ignite. Available for download in early in Q2, the new release includes ease-of-use and automation features to help simplify the deployment of the software as well as the migration from legacy in-memory data grids.

Posted February 18, 2015

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