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GridGain Gives Customers Even Bigger Opportunities from Big Data

GridGain’s “Data Grid” provides distributed in-memory data caching and storage for exponentially faster access to any info

As increasing numbers of industry leading companies look to new technologies to speed their real-time services and Big Data applications, GridGain Systems, leading developer of scalable, distributed in-memory compute and data grid technologies for real-time data processing, is strongly positioned to serve the demand.

GridGain In-Memory Application ArchitectureThis week, GridGain announced the release of an entirely new suite of solution-focused products built around the company’s leading in-memory and world’s fastest MapReduce technologies, expanded enterprise consulting and other professional services, advanced DevOps management and monitoring capabilities now available with all products, and out-of-box integration with virtually any existing data source, Hadoop-based systems, and Java, C++, .NET, Android and iOS applications.

Specifically related to GridGain’s new products, the company now offers three which are built around its in-memory data and compute grid technologies. GridGain’s “Data Grid” provides distributed in-memory data caching and storage for exponentially faster access to any information. Their “Compute Grid” enables highly distributed and massively parallel computations and processing on virtually any amount of data, and also leverages the company’s data grid technology. The company’s “In-Memory Big Data Edition” product includes both Data Grid and Compute Grid products, along with Hadoop (HDFS, Zookeeper, HBase) integration and high performance data loading components. All GridGain products include comprehensive enterprise DevOps management tools, and “zero deployment” options compatible with all major cloud platforms.

GridGain has already helped more than 500 enterprise customers achieve entirely new levels of value for their end-users, and thousands of other organizations that have downloaded GridGain’s free, open source Community Edition. GridGain technologies are used in applications where data and computation must be highly available, distributed and scalable, with extremely low-latency. The company offers Java-based middleware used for transactional in-memory processing of terabytes to petabytes of data, while enabling on-demand scaling of data storage and computational power from one server to thousands of machines – on virtually any cloud or grid-enabled infrastructure, commodity hardware or high speed flash arrays.

GridGain’s founder and CEO, Nikita Ivanov, says “GridGain is being used to build systems that perform better, much better than traditionally architected systems – and not by percentages, but by significant orders of magnitude. Our customers are achieving far greater value as a direct result of this faster performance.”

Ivanov continues, “GridGain is helping companies gain significant advantage in their respective markets, enabling them to get faster answers from their data. We are very excited about this new line of products, expanded capabilities and consulting services – all of which strongly support the vision and the objectives of our enterprise and leading customers.”

About GridGain Systems

GridGain develops scalable, distributed, in-memory compute and data grid technologies for real-time data processing. The company’s Java-based middleware products enable development of applications and services that can instantly access terabytes to petabytes of information from any data source or file system, distribute computational tasks across any number of machines, and produce results orders of magnitude faster than traditionally architected systems. GridGain’s customers include innovative web and mobile businesses, leading Fortune 500 companies, and top government agencies. The company is headquartered in Foster City, California. Learn more at www.gridgain.com and follow GridGain on Twitter @gridgain.

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