CLOUD

Metapa Inc., a leading provider of high-performance analytics infrastructure software, today announced that they will be unveiling their Cluster DataBase (CDB) 1.0 at the Data Warehousing Institute Conference in Boston. This is the industry's first Linux database clustering platform "purpose-built" for business intelligence. CDB offers a powerful alternative to SMP-based data warehousing, enabling companies to deploy very large databases on inexpensive clusters of Linux or Solaris machines. "Metapa is excited to unveil our new breakthrough product and demonstrate how companies can capitalize on the performance advantages and operational returns of Linux and open source computing for data warehousing," said Dave Powell, president and CEO of Metapa. "CDB uses commodity computing, open source database technologies and breakthrough parallel processing algorithms to deliver unprecedented price/performance when compared to traditional, proprietary database solutions." Targeted primarily at telcos, entertainment media and other businesses with large data volumes, CDB helps clients address the issues of expanding data volumes, shrinking batch windows, and rising demand for faster, more accurate business reporting. CDB offers exciting benefits that overcome current limitations in large- scale data warehousing: * Dramatic query performance improvements: 10 to 50 times query and insert performance gains * Revolutionary cost reduction: runs on commodity hardware and leverages open source database technologies * Linear scalability: incremental scalability of the data warehouse to meet growing data volumes * Easy management: non-invasive, centralized cluster management and administration * High availability: built-in enterprise-class reliability and fail-over * Seamless integration: easily integrates with existing IT environments * Industry standard interfaces: supports standard database interfaces (SQL, JDBC, ODBC) Metapa's CDB delivers drama tic query acceleration and storage capacity by enabling companies to deploy tera-scale data warehouses on clusters of commodity Linux servers, while ensuring enterprise-class reliability, linear scalability, and easy integration with existing IT environments.