Overview

Big Data management and analytics requires purpose-built database technology capabilities in order to scale cost effectively as volumes continue to grow exponentially across multiple industry sectors. According to IDC research, enterprises created 1.4 zettabytes in 2011 and with 50x data center growth rates between now and 2015, this number will continue to skyrocket. Combined with this, organizations are keeping data for unlimited time periods regardless of industry sector.

Added to operational transactional data, organizations now face increased volumes of interaction data largely coming from networks such as network logs or web click-streams, and in the communications sector WAP logs and IPDR (Internet Protocol Detail Records) content which all needs to be collected, stored and analyzed. IT is challenged with deploying the right technology to ingest data at network speed and over the past five years has come to realize that relational databases can no longer write data fast enough or scale efficiently. Additionally, data warehouses built for scale can quickly become cost prohibitive as volumes reach 000′s of terabytes and petabytes.

RainStor is architected to cost effectively manage Big Data and enable fast query and analytics for better business insights. RainStor can be deployed as a primary or secondary database depending on the use-case. Typically for machine-generated or raw data, RainStor is deployed as a primary solution and in situations where OLTP and OLAP environments have reached a scale that becomes more complex and costly, RainStor can augment and at the same time provide fully query and analytics access.

Leading technology partners worldwide embed RainStor with their solutions and end-users represent some of the world’s largest organizations, predominantly in industries that face Big Data, which needs to be managed at scale and at lowest total cost.