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GridGain Systems

GridGain Systems is revolutionizing real-time data access and processing by offering enterprise-grade in-memory computing solutions built on Apache® Ignite™. GridGain solutions are used by global enterprises in financial, software, ecommerce, retail, online business services, healthcare, telecom and other major sectors. GridGain solutions connect data stores (SQL, NoSQL, and Apache™ Hadoop®) with cloud-scale applications and enable massive data throughput and ultra-low latencies across a scalable, distributed cluster of commodity servers. GridGain is the most comprehensive, enterprise-grade in-memory computing platform for high volume ACID transactions, real-time analytics, and hybrid transactional/analytical processing. For more information, visit

See also:- GridGain's blog, GridGain - mentions on

Editor's comments:- whilst not being an SSD company GridGain is an interesting company in the SSD software ecosystem because its products and customer deployments are in the big memory systems architecture space which is one of the bubbling islands in the enterprise and cloud memory systems ocean.

New companies like GridGain have been helping the data processing market adapt to new thinking about memory system fabrics which are unconstrained by traditional phsyical limits of memory size and shared data latency.

See also:- RAM SSDs, the way ahead for memory systems

Introducing a new market for software which is strongly typed to new physical memory platforms and nvm-inside processors while unbound from the tyranny of memory virtualizable by storage.
Memory Defined Software

"Previous concerns about RAM being able to store only a limited amount of data are becoming a non-issue. Recently, Amazon introduced their X1 Instance, which lets customers rent computing instances with 2 terabytes of RAM for just $13.34 per hour. At such pricing levels, the economics of renting large clusters containing virtually any amount of RAM are well within reach."
Abe Kleinfeld, President & CEO at GridGain Systems in his blog - In-Memory Computing Will Dramatically Change Our Lives (July 14, 2016)
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"In its earliest implementations GridGain's products could be regarded as a memory resident relational database. But by 2018 GridGain's solutions had expanded their ambitions and reach and could support multi node memory, cluster snapshot, ACID transaction support, backup and persistence."

introducing Memory Defined Software
Unlike memory companies (for whom high double digit YoY revenue growth in 2017 was a serendipitous outcome from a broken pact with industry roadmaps) the noteworthy thing about GridGain is that unlike many other storage software companies it does have real customers and a long track record of pioneering a computing context which was once considered esoteric (like SSDs 20 years ago) but which real soon will be the mainstream.
84% sales growth for GridGain - (January 2018)
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The memoryfication market – with tiered enterprise memory – now has so many competitors and so many form factors that no one can be guaranteed to get a sizable chunk of it with any single product. It's really a fragmented market in which there are many ways to get similar results using entirely different mixes of technology at the server, box and infrastructure levels.
in memoriam Diablo - (December 2017)

How do banks use big memory systems to detect and prevent fraud?
Editor:- January 9, 2017 - In the early 2000s I started hearing stories from vendors of ultrafast SSDs about how their fast memory systems were helping banks to not only ease the choke points in their transactions but also provide insights into fraud prevention.

A new white paper GridGain Systems provides a good introduction and synthesis of the various roles of in-memory computing in accelerating financial fraud detection and prevention (pdf) which includes many named bank examples.

This paper describes how in memory computing provides the low latency data sharing backbone which is needed to enable pattern detection for fradulent activity to be assessed in real-time while at the same time enabling genuine transactions to proceed quicky.

Among other things, the paper says...

"The move from disk to memory is a key factor in improving performance. However, simply moving to memory is not sufficient to guarantee the extremely high memory processing speeds needed at the enterprise level... Clients who have implemented the GridGain In-Memory Data Fabric to detect and prevent fraud in their transactions have found that they can process those transactions about 1,000 times faster." the article (pdf)

See also:- SSD Security

It's by no means inevitable that the biggest memory companies will go on to become the biggest SSD companies.
an SSD guide to semiconductor memory boom-bust cycles