Splice Machine Announces Move to Open Source, Offers Early Access to Developers
Seeks contributors, mentors, sponsors and champions to help support Company’s move to take its dual-engine RDBMS open source
San Francisco, CA – June 7, 2016 – Splice Machine today announced that its relational database management system, the first dual-engine RDBMS powered by Hadoop and Spark, is moving to open source. The Company is actively seeking contributors and thought leaders in database architecture and distributed systems to guide and support the transition, develop best practices and help shape next-generation features that best suit the open source community.
- ANSI SQL-99 coverage, including full DDL and DML
- ACID transactions with Snapshot Isolation semantics
- In-place updates that scale from one row to millions with a single transaction
- Secondary indexing in both unique and non-unique forms
- Referential integrity, such as Primary and Foreign key constraints
- Join algorithms like broadcast, merge, batch nested loop and more
- Resource isolation enabled by a cost-based optimizer
“We are very excited to make the transition to open source and build a larger community around Splice Machine,” said Monte Zweben, co-founder and CEO, Splice Machine. “Our whole team is eagerly anticipating the contributions that going open source can enable. We also look forward to being more active within the open source communities beyond our participation around HBase and Spark.”
About Splice Machine
Splice Machine is the provider of the first RDBMS powered by Hadoop and Spark. Leveraging in-memory technology from Spark and scale-out capabilities from Hadoop, Splice Machine powers new applications and can offload existing Oracle ® and Teradata™ databases, delivering 10-20x performance improvements at one-fourth the cost. The Splice Machine RDBMS provides exceptional performance for simultaneous analytical and operational workloads, enabling companies to unlock the insights from their Big Data to make faster, better decisions.