GridGain In-Memory Data Fabric Launches

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gridgain-red-logoToday at Big Data Innovation Summit 2014, GridGain Systems (, a leading innovator of open source in-memory computing solutions,  announced the launch of the GridGain In-Memory Data Fabric, a comprehensive software solution that accelerates business operations and time to insights by enabling high-performance transactions, real-time streaming and ultra-fast analytics in a single, highly scalable data access and processing layer. The In-Memory Data Fabric offers a strategic approach to in-memory computing, while reducing the cost and complexity of deploying high-performance data processing.

Organizations that do not consider adopting in-memory application infrastructure technologies risk being out-innovated by competitors that are early mainstream users of these capabilities,” said Massimo Pezzini, vice president and Gartner Fellow.

The GridGain In-Memory Data Fabric is the result of years of meticulous research and development, built entirely from the ground up, and designed to easily support both existing and new applications in a distributed, massively parallel architecture on affordable commodity hardware.  Already tapped by Fortune 500 companies, top government agencies as well as innovative mobile and web companies in a broad spectrum of business scenarios, from fraud detection to big data analytics and bioinformatics, the technology:

  • Provides extensive API-parity across all key types of applications (Java, .NET, C++, Hive, MapReduce),
  • Connects applications with any traditional and emerging data stores (SQL, NoSQL, Hadoop), and
  • Offers a secure, highly available and manageable data processing environment.

In-Memory Data Fabric Case: Unprecedented advances in pharmacology modeling and computation

One of GridGain’s customers in the UK, e-Therapeutics, developed a network pharmacology platform for analyzing protein networks associated with particular diseases; the platform needed to address the challenge of running millions of memory-analyses repeatedly to identify drug candidates with optimal network impact. After deploying the GridGain In-Memory Data Fabric the network pharmacology computations are now 20 times faster than before. “While that’s impressive, it’s more than the fact that we’re more than 20 times faster than without the GridGain solution,” said Jonny Wray, Head of Discovery Informatics for e-Therapeutics. “It’s the fact that we can now do what we couldn’t do before.”

Our mission is to create a comprehensive, yet widely accessible, enterprise-grade Big Data offering that delivers the unsurpassed performance and scale of in-memory computing at much reduced complexity and cost,” said Abe Kleinfeld, President and CEO at GridGain. “While traditional database caching, distributed caching solutions and data grids can help the performance of individual applications, their narrow approach has failed to address the problem of costly and complex data silos. In contrast, the GridGain In-Memory Data Fabric enables companies of all sizes to transcend the world of application-specific data silos without the need to ‘rip-and-replace’ applications or data stores, and delivers gains in speed and scale by orders of magnitude, which are critical to the real-time enterprise.”

Enabling the Real-time Enterprise

The GridGain In-Memory Data Fabric is designed to serve the emerging needs of the real-time enterprise, which does not simply view datasets as historical events, but rather as actionable intelligence for immediate decision-making, and as a means of adjusting to constantly fluctuating market forces. According to the company, while analytics and transactional data functions have traditionally operated separately, companies now need to view them as part of the same data fabric, and must implement holistic strategies to connect enterprise-wide data from all sources.  GridGain is now offering this comprehensive solution to serve the needs of companies operating in an environment where predictive analytics is becoming a competitive necessity.

With the rapid and consistent fall in prices for memory, the ability to persistently store data in memory has grown to meet the needs of Big Data and Fast Data processing. ” said John Myers, Research Director at Enterprise Management Associates. “Given the current rate of innovation, and with optimized software platforms such as the GridGain In-Memory Data Fabric, the possibilities for increases in data processing efficiency and decrease of the ‘environmental footprint’ are expanding greatly.”

The GridGain In-Memory Data Fabric v6.5 is available for download immediately at


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