Archive

‘Hadoop’ Category

Splice Machine Adds Apache Ranger Plugin to Deliver Centralized Security Administration  /  7.18.18 

We are excited to announce that Splice Machine has added an extra layer of security for our customers on the Hortonworks Data Platform (HDP). We recently announced the launch of our plugin for Apache Ranger, which will provide customers on HDP a centralized security administration. The Apache Ranger...

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Bay Area Hadoop User Group Meetup  /  10.18.16 

Join us at the Bay Area Hadoop User Group Meetup on October 19 from 6pm to 9pm PT. Splice Machine CEO Monte Zweben will be speaking on the Architecture of an Open Source RDBMS powered by Apache HBase® and Apache Spark™. In addition to Monte, Peter Kisich of FactorData and Joe Francis of Yahoo will...

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Oracle Application Migration to a Scale-Out Hadoop Infrastructure Webinar  /  10.7.16 

Splice Machine recently announced at Strata + Hadoop World NYC that it now supports native PL/SQL on Splice Machine. This support will dramatically reduce the time and cost for companies to perform an Oracle application migration from Oracle databases as companies continually deal with an exponential...

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Splice Machine is Coming to Strata + Hadoop World New York  /  9.22.16 

We are excited to announce that Splice Machine will be exhibiting at the Strata + Hadoop World New York 2016 from September 27-29, 2016 at the Javits Center. This conference is where the communities behind emerging projects associated with the big data ecosystem show off their code and projects to thousands...

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Come Visit Splice Machine at Hadoop Summit 2016  /  6.22.16 

We are excited to announce that Splice Machine will be exhibiting at Hadoop Summit 2016 in San Jose from June 28th to June 30th. This conference is designed for you to get deep-dive technical content while you learn about the technologies and business drivers that are transforming big data. If you haven’t...

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SQL-on-Hadoop Considerations  /  5.6.16 

It’s no surprise that many companies are looking into SQL-on-Hadoop options. Standard SQL enables companies to tap into existing SQL-trained resources while being able to benefit with the scale-out cost-effectiveness of Hadoop. With so many SQL-on-Hadoop options available, selecting the right one...

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IDG Connect’s 2015 List of Pre-IPO B2B Tech Companies to Watch – Splice Machine  /  2.26.16 

IDG Connect, a division of the world’s biggest tech media company, has named Splice Machine as one of 20 “red-hot” pre-IPO companies in B2B tech of 2015. Our strong positioning within the hotly competitive relational database management system market puts us in good company! Hot-list pre-IPO qualifiers...

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

We are proud to announce the version 2.0 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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Splice Machine Announces Version 1.5 of Hadoop RDBMS  /  10.20.15 

It’s a good day here at Splice Machine. Today we announced the release of version 1.5 of the Hadoop RDBMS. After listening closely to our customers, prospects and partners, we have used their feedback to improve our solution. We’ve added multiple enterprise-ready features that enable businesses to...

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Apache HBase: Why We Use It and Believe In It  /  9.17.15 

  What is HBase? Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google’s Bigtable: A Distributed Storage System for Structured Data. HBase supports random, real-time read/write access with a goal of hosting very large tables atop clusters...

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