Splice Machine Blog

1.25.16  /  Webinar: Emerging Trends in Big Data Software – Spark, MLlib and Beyond

Join Mike Franklin, Professor and Director of the AMPLab at UC Berkeley, for a webinar on January 27 to learn about the future of Big Data software. The AMPLab has reshaped Big Data by developing technologies such as Spark, MLlib and GraphX as components of BDAS, the Berkeley Data Analytics Stack. AMPLab...

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1.12.16  /  Leveraging Spark in a Hybrid OLTP/OLAP RDBMS Meetup

Join Splice Machine’s very own Co-Founder and CTO, John Leach, on Thursday, January 21 for a Meetup in San Francisco. We will discuss how Splice Machine uses Spark as part of a hybrid RDBMS architecture that includes Hadoop and HBase. Other topics of discussion will include how the optimizer evaluates...

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1.5.16  /  Big Expectations for Big Data in 2016

2015 was a major growth year for Splice Machine. We announced new partnerships with Talend, mrc and RedPoint Global. We released version 1.5 of our Hadoop RDBMS in October, and in November, we announced the first hybrid in-memory RDBMS, powered Hadoop and Spark, which is now available as a public beta. We...

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12.9.15  /  Splice Machine V2.0 Webinar: The First Hybrid In-Memory RDBMS Powered by Hadoop and Spark

Join Splice Machine’s Rich Reimer for a webinar on December 10 to learn more about the recently announced Splice Machine version 2.0, which has added flexible in-memory capabilities from Apache Spark to its transactional Hadoop RDBMS. In this webinar you will learn about: Apache Spark and how...

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11.17.15  /  Version 2.0 – The first in-memory RDBMS powered by Hadoop and Spark

We are proud to announce the 2.0 version of the Splice Machine RDBMS, the first hybrid in-memory RDBMS powered by Hadoop and Spark. Splice Machine Version 2.0 delivers a database solution that incorporates the proven scalability of Hadoop, ANSI SQL, ACID transactions, and the in-memory performance...

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