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Thomas Krafft

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GridGain Closes $2.5 Million Series A Funding to Accelerate Innovation in Real Time Big Data Processing Innovative Cloud-Based Software Middleware Provider Receives Financing Led by RTP Ventures Foster City, CA (PRWEB) December 06, 2011 — GridGain, the leader in high performance cloud computing and real time big data processing, today announced that it has closed a $2.5 million Series A round of financing led by RTP Ventures. The company will use the new funding to accelerate growth, continue innovation in real time big data processing, and expand its global market share. News Facts GridGain is used by leading Fortune 500 companies including Sony, Apple, McGrawHill, Avis, TomTom, Markit, Daiwa, Thomson Reuters, and others across the finance, retail, Web 2.0 and telecom markets More than 500 businesses use GridGain’s software on a daily basis to address the scalab... (more)

GridGain 4.0.1 Released!

GridGain 4.0.1 has been released this Monday. This is a point release that includes several bug fixes as well as number of new features. With 4.0.1 we are introducing native support for .NET with our C# Client. C# Client provides native .NET/C# APIs for accessing both GridGain’s In-Memory Data Grid and Compute Grid from outside of the GridGain topology context. Internally it’s deferring to the REST protocol. Check out examples on GitHub. C# Client is one of many native clients we’ll be releasing shortly including ObjectC, C++, PHP, Scala, Ruby, and some others we’re already wo... (more)

What does “Real Time” in “Real Time Big Data” mean?

Lately there has been lots of noise about “Real Time” Big Data. Lots of companies that associate themselves with this term are generally in analytical space and to them it really means “low-latency” for analytical processing of data which is usually stored in some warehouse, like Hadoop Distributed File System (HDFS). To achieve this they usually create in-memory indexes over HDFS data which allows their customers run fast queries on it. Although low latencies are very important, they only cover one side of what “Real Time” really means. The part that is usually not covered is how... (more)

GridGain 4.2 Released!

We are happy to announce that GridGain 4.2 is released! This release includes several new exciting feature as well as the host of performance optimizations that we’ve included. This release is 100% backward compatible with 4.x product line and we recommend anyone on 4.x version to update as soon as possible. Now – let’s talk about new features… Delayed Preloading In GridGain 4.2 we’ve introduced support for delayed preloading. Dmitriy Setrakyan wrote an excellent blog detailing this new functionality. Essentially, whenever a new node joins the grid or an existing node leaves th... (more)

Micro Cloud in Your JVM with GridGain

One of the features in GridGain’s In-Memory Data Platform that often goes unspoken for is ability to launch multiple GridGain nodes in the single JVM. Now, as trivial as it sounds… can you start multiple JBoss or WebLogic or Infinisnap or Gigaspaces or Coherence or (gulp) Hadoop 100% independent runtimes in the single JVM? The answer is no. Even for a simple test run you’ll have to start multiple instances on your computer (or on multiple computers), and debug this via remotely connected debugger, different log windows, different configurations, etc. In one word – awkward… Not so... (more)