Data store provider RainStor makes its Archive Application available on Hadoop 2.0 enabled new Big Data applications in telecom, other areas
June 25, 2014
San Francisco – RainStor, provider of the most efficient enterprise data store for Big Data, today announced the availability of an Archive Application for Hadoop 2.0 with its latest release, RainStor 6. The new offering makes it easier than ever to deploy an end-to-end solution on Hadoop for managing and analyzing high value, sensitive data. With RainStor’s Archive App, users conduct high performance queries against secure multi-structured data in a very efficient way. An Archive is deployed when an organization has rapidly growing data that needs to be retained for ongoing business queries or when governance rules mandate that data be online and fully accessible for specific timeframes. Business users require analytic access to multiple years of history storing raw detailed data in order to derive business value and insights.
New Archive capabilities include:
Analytics Performance Speed-up: Building on RainStor’s existing interactive SQL-on-Hadoop stack, the new archive application features XQuery for hierarchical data and documents, and extends analytics support to SQL 2003. Users benefit from a 10-100X-query boost using native SQL against a mix of structured, semi-structured data and documents in the same cluster. Performance improvements also apply to queries against Hive, Pig and MapReduce. An archive on Hadoop should achieve performance levels on par with the source environment, which is typically a data warehouse.
RainStor Application Management on Hadoop 2.0: RainStor is open, standards-based, and is ideally suited to run on HDFS. Certified on Hortonworks 2.1 and Cloudera Enterprise 5, RainStor integrates with YARN to ensure full co-operation in managing resources across a busy Hadoop cluster. RainStor integrates with Apache Ambari for cluster monitoring, and with Hue for managing archive workflows. RainStor also provides connectivity through HCatalog, the de facto interface to relational data. These capabilities offer users increased flexibility in selecting the tools that best fit their needs.
Governance for Greater Control: With this new Archive app, you gain enterprise-grade control of the data in Hadoop, through life-cycle data management features for retention and expiry. With a rules-based workflow you specify a record or groups of records to keep or delete, as they are loaded. Adhering to data governance practices has become a critical requirement and now you have greater control with your data, which eliminates time-consuming manual intervention or lost data.
RainStor Inc.
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