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

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