Scalability
Cost-effective scalability through auto-sharding on commodity hardware.
Scalability
Splice Machine utilizes the proven auto-sharding capability in HBase to provide massive scalability across commodity hardware.
Standard SQL
Robust SQL support with typed columns, secondary indexes and optimized joins.
Standard SQL
Splice Machine extends HBase with an enhanced SQL engine that features typed columns, secondary indexes, and optimized joins to deliver fast query performance.
Availability
Replication and automatic failover support between nodes for fault tolerance.
Availability
Splice Machine uses the high availability and fault tolerance built into HBase, Hadoop MapReduce, and the Hadoop Distributed File System (HDFS).
Transactions
Real-time updates with transactional integrity across tables.
Transactions
Splice Machine extends HBase to provide real-time updates with transactional integrity across rows, regions, and tables.
Inside the Machine
Splice Machine enables you to build Big Data applications with all the benefits of NoSQL databases while still leveraging standard SQL. The result: massive scalability, flexible schema, fault tolerance and high availability along with easy integration to BI tools.
Build the New Generation
of Big Data Solutions
Join the Splice Machine team to be at the forefront of
the Big Data revolution. We’re recruiting engineers and architects
to join our talented, experienced development team.
In the News
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May 1, 2013
Why Hadoop is Set to Be the Next Big Thing -
Apr 23, 2013
Seven Hot Hadoop Startups that Will Tame Big Data