Newsletters




Splice Machine Launches Open Source RDBMS Sandbox


Splice Machine, which provides an RDBMS powered by Hadoop and Spark, has announced a cloud-based sandbox for developers to put its just launched open source Community Edition to the test. The company is making available an open source standalone and cluster download, and has announced the general availability of V2.0, and the launch of its developer community site.

Now generally available, Splice Machine 2.0 integrates Apache Spark, an engine for large-scale data processing, into its existing Hadoop-based architecture, creating a flexible, hybrid database that enables businesses to perform simultaneous OLAP and OLTP workloads.

With the new open source Community Edition, the goal is to make it as easy as possible for developers to get Splice Machine and test it at scale, according to Monte Zweben, CEO and co-founder of Splice Machine. The Community Edition is a fully functional RDBMS that enables teams to evaluate Splice Machine, while the company continues to offer its Enterprise Edition which contains additional DevOps features needed to securely operate Splice Machine, 24×7.

Among the key components of the new offerings is the Splice Machine V2.0 sandbox powered by Amazon Web Services (AWS) which allows developers to initiate a cluster in minutes. The sandbox enables the developer to choose the number of nodes in the cluster and each node’s type to accommodate a range of tests, from small to enterprise scale.

Splice Machine is now available in a free, full-featured Community Edition in addition to the licensed Enterprise Edition that provides 24/7 support, and includes DevOps features such as backup and restore, LDAP support, Kerberos support, encryption, and column-level access privileges.

To help build an interactive and involved Splice Machine community, the company has launched a community website that includes tutorials, videos, a developer forum, a GitHub repository, a StackOverflow tag and a Slack channel. These resources include code to help developers, data scientists, and DevOps learn to use Splice Machine, and will continue to grow with contributions from the community, according to the company.

To experiment in the sandbox or download Splice Machine, go to www.splicemachine.com/get-started.

Related Articles

Splice Machine has announced that it is releasing its database management system, a dual-engine RDBMS powered by Hadoop and Spark, as an open source platform. The community edition will be free for members of the open source community, allowing them to use as well as modify source code, whereas the enterprise edition will include a set of proprietary tools focused on operational features that enable DBAs and DevOps teams to maintain, tune, and keep the platform secure while it's live.

Posted June 10, 2016

Splice Machine Adds New Funding to Accelerate Customer Traction

Posted January 26, 2016

Splice Machine is releasing a new update to its relational database platform that will combine the power and flexibility of Hadoop and Spark. "Our version 2.0 takes our first version which scaled out on the Hadoop stack. Now, we are adding a new computation engine on HBase which is Spark," said Monte Zweben, co-founder and CEO of Splice Machine. "The benefit is that someone can use us as a regular SQL database management system and we will automatically take their queries and forward them to the proper computational engine for fast transactional types of updates."

Posted November 17, 2015

Splice Machine, the developer of a SQL-compliant database designed for big data applications, has raised $4 million in Series A funding from Mohr Davidow Ventures (MDV), enabling it to continue the development of the Splice SQL Engine. "We are providing the first SQL-compliant database designed for big data applications," Monte Zweben, chairman and CEO at Splice Machine. tells 5 Minute Briefing. The company has been in stealth mode and this is its first public announcement, says Zweben.

Posted October 23, 2012

Monte Zweben, CEO and co-founder of the company that was founded in 2012, talks with Big Data Quarterly about why Splice Machine has rolled out an open source Community Edition - and why it is doing so now

Posted July 18, 2016

White Papers

Establishing a scalable AI governance framework: Key steps and tech for success
More White Papers

Sponsors