Startup Marketeer and Tech Veteran

Thomas Krafft

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Top Stories by Thomas Krafft

GridGain Systems, a developer of scalable, distributed, in-memory compute and data grid technologies for real-time data processing, has announced the addition of an independent director, David Lichtblau, to its Board of Directors. Mr. Lichtblau has helped bring multiple venture-backed start-ups from infancy to successful exit. He co-founded Stanford Technology Group, a pioneer in on-line analytical processing for data warehouses, which was acquired by Informix Software (now part of IBM). He went on to help build StarMine, a provider of analytics for institutional investors and investment banks, which was acquired by Thomson Reuters. Most recently, he served as the global head of products for the Thomson Reuters product line for portfolio managers and analysts. “GridGain is at the forefront of innovation in a space that Gartner recently named one of the top 10 most... (more)

Micro Cloud in Your JVM: Code Example

Few days ago I blogged about how GridGain easily supports starting many GridGain nodes in the single JVM – which is a huge productivity boost during the development. I’ve got a lot of requests to show the code – so here it is (next page). This is an example that we are shipping with upcoming 4.3 release (entire source code): import org.gridgain.grid.*; import org.gridgain.grid.spi.discovery.tcp.*; import org.gridgain.grid.spi.discovery.tcp.ipfinder.*; import org.gridgain.grid.spi.discovery.tcp.ipfinder.vm.*; import org.gridgain.grid.typedef.*; import javax.swing.*; import java... (more)

Streaming MapReduce with GridGain & Scala

GridGain will present at Twin Cities Java JUG about “Streaming MapReduce with GridGain and Scala”. As always, JUG is hosted by Intertech. Live coding, good introduction into in-memory computing and data processing and plenty of… Scala. Come and stop by for good pizza too! All information is on JUG’s website. ... (more)

Debunking DRAM vs. Flash Controversy vis-a-vis In-Memory Processing

Wikibon produced an interesting material (looks like paid by Aerospike, NoSQL database recently emerged by resurrecting failed CitrusLeaf and acquihiring AlchemyDB, which product, of course, was recommended in the end) that compares NoSQL databases based on storing data in flash-based SSD vs. storing data in DRAM. There are number of factual problems with that paper and I want to point them out. Note that Wikibon doesn’t mention GridGain in this study (we are not a NoSQL datastore per-se after all) so I don’t have any bone in this game other than annoyance with biased and factu... (more)

GridGain and Hadoop: Differences and Synergies

GridGain is Java-based middleware for in-memory processing of big data in a distributed environment. It is based on high performance in-memory data platform that integrates fast In-Memory MapReduce implementation with In-Memory Data Grid technology delivering easy to use and easy to scale software. Using GridGain you can process terabytes of data, on 1000s of nodes in under a second. GridGain typically resides between business, analytics, transactional or BI applications and long term data storage such as RDBMS, ERP or Hadoop HDFS, and provides in-memory data platform for high p... (more)