Why Splice Machine?
The Big Data Imperative: Becoming Real-Time, Data-Driven Businesses
Organizations are eager to tap into the wealth of data that is at their fingertips, but mere analysis is no longer sufficient. Time is a critical factor when it comes to uncovering insights that can be turned into rapid actions. This makes accessing near-real-time data an imperative for companies who are striving to realize the promise of Big Data by becoming real-time, data-driven businesses.
Real-time, analytical applications are emerging to collect, analyze, and react to data without the high costs and poor scalability of traditional databases. Splice Machine, the real-time SQL-on-Hadoop database, can be the lynchpin to these applications because of its ability to
- Process real-time updates
- Utilize standard SQL
- Scale out on commodity hardware
Use Splice Machine Where MySQL or Oracle Can’t Scale
As a general-purpose database flexible to handle both analytical (OLAP) and operational (OLTP) workloads, Splice Machine can be used anywhere that MySQL or Oracle can be used, but with the advantage of scaling out with commodity hardware.
Only SQL-on-Hadoop Database to Support Real-Time Updates
Splice Machine is the only transactional SQL-on-Hadoop database for real-time Big Data applications. Built on the proven Hadoop and HBase stacks, Splice Machine takes the best of both SQL and NoSQL database solutions to deliver a massively scalable database that provides robust SQL support, secondary indexes, join optimizations and transactional integrity.