GridGain Announces Version 7.0 of its Award-Winning In-Memory Data Fabric

Newest Version Built on Apache Ignite™ (incubating) Features Enhanced Ease-of-Use and Automation

FOSTER CITY, Calif. February 18, 2015 – GridGain™ Systems (, the leading
innovator behind open source and commercial in-memory data fabric solutions that accelerate business
operations and time to insights for the enterprise and in the cloud, announced today a new release of the
GridGain In-Memory Data Fabric Enterprise Edition built on Apache Ignite (Incubating). This latest release, which will be available for download early in Q2, includes new ease-of-use and automation features which help simplify the deployment of the software as well as the migration from legacy in-memory data grids. A Gartner 2014 Cool Vendor, GridGain was recently selected as an AlwaysOn OnCloud Top 100 company.

The GridGain In-Memory Data Fabric is a complete, enterprise-grade software solution for enabling high volume
transactions, real-time analytics and hybrid transactional-analytical processing in a single, highly
scalable data access and processing layer. Through its unified APIs, it offers speed and scale to all types of new and existing applications (including Java, .NET, C++) and allows queries across diverse data stores
containing structured, semi-structured and unstructured data (SQL, NoSQL, Hadoop). Unlike legacy in-memory
point solutions, such as data grids or in-memory databases, an in-memory data fabric offers a strategic approach to in-memory computing, while reducing the cost and complexity of deploying high-performance data processing.

The GridGain In-Memory Data Fabric is a proven, enterprise-grade in-memory data fabric that offers
predictable latency at any scale, flexible horizontal and vertical scaling, configurable data consistency,
high availability and enhanced security; it has been designed to run on commodity hardware on-premises
and in the cloud. New in version 7.0, it will also offer enhanced ease-of-use and automation features,

  • JCache (JSR-107) support: JCache provides a seamless and easy-to-use API for interacting with Java in-memory caches. In version 7.0 of the GridGain In-Memory Data Fabric, caching is implemented based on JCache, which adds significant functionality, and allows organizations to easily migrate to from other JCache-compliant products such as Oracle Coherence, Software AG Terracotta or Hazelcast.

  • Auto-Loading of SQL data: Also new in version 7.0, this feature offers simplified integration with different RDBMS systems (Oracle, MySQL, Postgres, DB2, Microsoft SQL, etc.). Moving from disk-based architectures to in-memory architectures can be tedious, so the GridGain In-Memory Data Fabric streamlines the process and saves time by providing a simple utility, which automatically reads the database schema, creates required in-memory indexes, and optionally generates the domain model in Java.

  • Dynamic cache creation: GridGain In-Memory Data Fabric v7.0 allows for dynamic cache creation on the fly, enabling users to define configuration and cluster topology for the cache to be automatically started on the cluster. This simplifies the configuration process, removing the need for users to know all cache configurations in advance and the need to restart the entire cluster or update multiple configuration files on every cluster member. This timesaving feature lets you define and deploy caches from a single client throughout runtime of an application.

"The availability of Apache Ignite as an open source compute engine is an important milestone for the in- memory computing market. EMA end-user research shows that in 2015, 'speed of response' will continue to be an important processing use case," said John Myers, Managing Research Director, Business Intelligence, Enterprise Management Associates. "In conjunction with Apache Ignite as an open source option, GridGain’s Enterprise edition, with its data center capabilities and high availability features, will help enterprises deploy business critical-solutions with in-memory computing across a number of implementation options."

"The GridGain In-Memory Data Fabric addresses the emerging needs of the real-time enterprise for immediate decision-making. Organizations must implement holistic strategies to connect enterprise-wide data from all sources with speed and great efficiency”, said Abe Kleinfeld, President and CEO at GridGain. “With this new release, which has been architected to take advantage of the innovations available in the Apache Ignite code base, we are making simplified deployment, ease of use and automation priorities that will propel our customers toward the new world of Fast Data. GridGain is committed to serving companies operating in a real-time business environment, where the ability to take immediate action on live data is becoming a competitive necessity."

GridGain In-Memory Data Fabric v7.0 will be available for download early in calendar quarter Q2.

About GridGain
GridGain is revolutionizing enterprise data access and processing by offering the first enterprise-grade In-Memory Data Fabric built on Apache Ignite (incubating). The GridGain In-Memory Data Fabric is designed to conquer today’s Fast Data challenges and unleash the competitive advantage of any real-time business, whether on-premises or in the cloud. Offering the most comprehensive, enterprise-grade in-memory computing solution for high-volume transactions, real-time analytics and hybrid data processing, GridGain enables Fortune 500 companies and innovative mobile, web and SaaS companies to anticipate and innovate ahead of market changes. GridGain is headquartered in Foster City, California. Download a 30-day free trial of the GridGain In-Memory Data Fabric here. For more information, visit and follow us @gridgain.

About Apache Ignite
Apache Ignite (incubating) is the leading open source In-Memory Data Fabric integrating a compute grid, data grid, service grid, as well as streaming, messaging and Hadoop acceleration into a single, highly scalable real-time access and processing layer for Fast Data. It connects both traditional and emerging data stores (SQL, NoSQL, Hadoop) with hyper-scale applications, enabling massive data throughput and ultra-low latencies across any number of clustered commodity servers. For more information, visit the Apache Ignite website and follow the project @apacheignite.
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Samantha Leggat
Lighthouse PR