
Splice Machine is a data platform that offers offline, and batch analysis, and powers intelligent applications for operational workflows. Splice Machine is disrupting the $30 billion traditional database world with the open-source dual-engine RDBMS for mixed operational and analytical workloads, powered by Apache Hadoop and Apache Spark. The Splice Machine RDBMS executes operational workloads on Apache HBase® and analytical workloads on Apache Spark. Splice Machine makes it easy to develop and create modern, real-time, scalable applications, or to offload operational and analytical workloads from expensive Oracle, Teradata, and Netezza systems. Typical use cases are ETL, operational reporting, or real-time applications.

Splice Machine is a data platform that offers offline, and batch analysis, and powers intelligent applications for operational workflows. Splice Machine is disrupting the $30 billion traditional database world with the open-source dual-engine RDBMS for mixed operational and analytical workloads, powered by Apache Hadoop and Apache Spark. The Splice Machine RDBMS executes operational workloads on Apache HBase® and analytical workloads on Apache Spark. Splice Machine makes it easy to develop and create modern, real-time, scalable applications, or to offload operational and analytical workloads from expensive Oracle, Teradata, and Netezza systems. Typical use cases are ETL, operational reporting, or real-time applications.
Product: Hadoop RDBMS that supports mixed OLTP/OLAP workloads using Apache HBase and Apache Spark
Use cases: Real-time applications, operational analytics, high-ingest stream/batch updates
Founders: Monte Zweben, Eugene (Gene) Davis, John Leach
Total funding (reported): USD 47,500,000
Headquarters: San Francisco, California, United States
Mixed operational and analytical data workloads (real-time applications and operational analytics)
Data platform / Database
USD 4,000,000
USD 15,000,000
Participation from prior investor Mohr Davidow Ventures
Most recent funding date reported