Clustrix Introduces Database for Real-Time Analytics 

Clustrix today announced the general availability of ClustrixDB as a software download, the industry's first and only scale-out database for real-time analytics on live operational data. For the first time, companies can perform complex analytics in seconds at the same time as massive transaction volume on the same database without the costs of a separate analytic database

Companies are striving for split-second analysis of valuable customer data across online transactions, social media channels, and meta-data for unstructured company content and customer profiles. This new era of real-time analytics enables organizations to deliver better customer service, monetize rapidly changing customer behavior, and respond to competitive threats without having to wait overnight for answers. ClustrixDB provide a single operational database that supports billions of system-of-record transactions with unpredictable traffic spikes, complex application logic, online reporting and ad hoc queries. Clustrix delivers this breakthrough capability with pay-as-you-grow subscription pricing in stark contrast to millions of dollars in scale-up hardware and licensing required for legacy databases. With self-managing automation, Clustrix customers typically do not use an operational DBA providing customer a radically simpler alternative to Hadoop.

"Transactions must be able to drive decisions in real time," said George Gilbert, analyst, GigaOM Pro. "Although in-memory databases typically have the fastest performance but often trade off capacity of a large data set and analytic sophistication. DBMS that aren't constrained just to memory can achieve the analytic sophistication and performance that still support transaction processing, although less than a data warehouse."

ClustrixDB is the most widely deployed scale-out SQL database in production applications. Customers rely on ClustrixDB to deliver over 1 trillion transactions per month in business-critical deployments. ClustrixDB powers dozens of large-scale production customers around the world, including AOL, Rakuten Global Markets, and Symantec.

Key features of ClustrixDB include:

• Massively parallel processing (MPP) across it's distributed cluster to parallelize and distribute SQL queries, and use all available resources of the cluster to accelerate the queries;
• Multi-version concurrency control (MVCC) to ensure reads and writes do not interfere with each other, allowing analytics to run in parallel with writes and updates without affecting performance;
• Distributed aggregates, which allow distributed partial computation of aggregates, making analytics scale better. For example, if you were aggregating expenses by department, each node will aggregate the local data and only the final results will be aggregating by the query node.
• SQL query fan-out, which allows ClustrixDB to use multiple nodes and multiple cores per node to accelerate one analytic query or report. As you add more nodes, the analytics and reports get faster.
• In-memory analytics using a combination of Flash and RAM to provide scale at breakthrough costs.