The relational database management system, the first dual-engine RDBMS, powered by Hadoop and Spark, is moving to open source announced by Splice Machine, today. To guide and support the transition, develop best practices and help to shape next-generation features that best suit the open source community, the company is actively seeking contribution from the contributors and thought leaders in the
database architecture and distributed systems.
In taking the leap and joining the open source community”, Splice Machine has been applauded. For simultaneous analytical and operational workloads, enabling companies to unlock the insights from their Big Data to make faster, better decisions, Splice Machine RDBMS provides exceptional performance.
To cater wide range of needs, Splice Machine will continue to add new features and entices many exciting features, at present, as in both unique and non-unique forms, secondary indexing is offered. It also acts as a cost based optimizer, as resource isolation is enabled and lot more.
Enabled by real-time updates on top of the Hadoop Distributed File System (HDFS), Apache HBase is an open-source distributed database, modeled after Google’s BigTable.
As
stated by Monte Zweben, Co-founder and CEO, Splice Machine,
“We are very excited to make the transition to open source and build a larger community around Splice Machine,”