RainStor With Enterprise Database Running Natively on Hadoop

RainStor, Inc., a provider of Big Data management software, announced Big Data Analytics on Hadoop.

An enterprise database running natively on Hadoop, RainStor enables faster, more flexible analytics on multi-structured data, without the need to move data out of the Hadoop Distributed File System (HDFS) environment.

Building on RainStor’s patented database technology and expertise managing complex Big Data environments, the new product combines compression – up to 40x – along with 10-100x faster analytics by providing both SQL access and MapReduce. The compressed multi-structured data set running on HDFS delivers efficiency and reduces the cluster size by 50 percent to 80 percent, which lowers operating cost.

RainStor also announced partnerships with Cloudera, Inc., Hortonworks, Inc. and MapR Technologies, Inc. distributors of open source Apache Hadoop in addition to a partnership with Composite Software, Inc.

Extending the Value of Hadoop for the Enterprise
Hadoop has had an impact to enable enterprise analytics of Big Data at low cost scale. The Hadoop ecosystem is increasingly focused on enterprise features to add resilience, security and flexible high-performance analytics of multi-structured data for better business insights.

RainStor brings added value to new and existing Hadoop deployments with database technology and enterprise-grade features. Because RainStor provides a high level of compression, data is reduced by up to 40x (97.5 percent) or more compared to raw data, and requires no re-inflation when accessed. Faster analytics are achieved when this compression is combined with dynamic filtering at file, column and row level, resulting in productivity from more efficient use of the Hadoop cluster. Compression, combined with enterprise database management features, also reduces storage and cluster size for lower operating costs.

Big Data Analytics on Hadoop Delivers:

• The industry’s first enterprise database running natively on Hadoop, enabling faster analytics
• The highest data compression in the industry with up to 40x reduction, compared to raw data typically stored in HDFS, with no re-inflation required for access
• The ability to run faster query and analysis using both SQL query and MapReduce with 10-100x faster results
• The ability to perform analytics directly in Hadoop, reducing the need to create copies and transfer data out
• Reduced nodes in a Hadoop cluster with ~85 percent lower operating costs.

"As data volumes continue to grow and users look to take advantage of both structured and unstructured data, offerings like RainStor Big Data Analytics on Hadoop that enable co-existence without data movement are likely to come into greater focus. RainStor’s de-duplication and compression capabilities also offer the potential to lower cluster size and cost, while improving analytic performance, which will be key considerations as we see even greater adoption of Hadoop," said Matt Aslett, Research Manager, Data Management and Analytics at 451 Research.

"To manage growing, complex volumes of data requires more efficient data management to drive down infrastructure costs and at the same time provide flexible, high performance analysis. RainStor uniquely delivers the flexibility to use both MapReduce and rapid-response SQL query, which gives customers the ability to get more out of their Hadoop environments. RainStor on Hadoop essentially gives the enterprise high performance analytics at scale, without the premium cost of a data warehouse," said John Bantleman, CEO at RainStor.

RainStor Big Data Analytics on Hadoop is available.