Splice Machine 2.0
Getting information – and value — out of Hadoop is notoriously difficult. That has led to an explosion of startups offering different technologies and approaches for working with Hadoop.
High on that list is startup Splice Machine, which in May launched its SQL-on-Hadoop relational database software that's designed to scale real-time applications and operational analytics using commodity hardware without application rewrites.
The company just launched the beta of Splice Machine 2.0, which supports the Apache Spark in-memory processing engine (see slide No. 2). The added processing power provides the Splice Machine database with a significant power boost that allows it to simultaneously perform transaction processing and business analytics tasks. That's a major advantage as the line between OLTP and OLAP applications blurs.