SAN FRANCISCO, July 7, 2009 -- SenSage, Inc. today announced that it is participating in the EMC® Data Warehouse/Business Intelligence/Analytics Competency Center to provide customers an optimized solution to manage large-scale event data warehouse and business intelligence environments. The SenSage data warehouse software is integrated with EMC networked storage systems, and is designed to help organizations achieve cost efficiencies and reduce time-to-value in data warehouse deployments.

"Customers are facing critical challenges with their rapidly growing volumes of data in their data warehouse and business intelligence environments and are asking vendors for solutions that are cost-effective, provide high availability and are easy to use," said Chuck Hollis, EMC's vice president, global marketing, and chief technology officer. "The EMC Data Warehouse/Business Intelligence/Analytics Competency Center brings together the engineering resources and expertise of industry leaders to work directly with customers to help them evaluate, plan and architect a solution that addresses their business requirements. Having SenSage participate in the Competency Center enables the two companies to work closely to ensure we can offer customers an optimized data warehouse/business intelligence solution."

SenSage Offers Customers Integrated Data Warehouse Solutions for Managing Petabyte-scale Environments

SenSage's breakthrough technology advantage is based on the use of a columnar database across clusters of commodity servers, storage and networking to deliver pre-built, highly targeted business solutions. Unlike other columnar data warehouse providers, SenSage includes powerful extract, transform and load (ETL) and business intelligence capabilities that enable easy collection and analysis of any time-based data. Users access highly tailored dashboards of alerts, analytics and trending data, and execute sophisticated queries from an easy, intuitive user interface. This combination leads to dramatically lower total cost of ownership (TCO) and time-to-value as compared to other data warehouse approaches.

For many organizations, event data is their fastest growing data type and, often, their single largest data store. Even...