Birst Unveils In-Memory Database Optimized for Analytics

Birst Inc., a provider of business analytics, has announced the release of an in-memory database optimized exclusively for business analytics. The Birst in-memory analytics database builds on Birst's data warehouse automation technology which provides for data integration across numerous data sources, including SAP, SalesForce, operational and financial systems, into a multi-dimensional, star schema design.

Based on the universal database standard query language, SQL, Birst's database is interoperable with existing applications and allows for open access via JDBC. Columnar structure, compression, and parallel processing speeds performance for analytics and achieves high throughput. By optimizing data structures and managing data in-memory, database operations execute with maximum efficiency, achieving dramatic gains in responsiveness.

"Real BI is relational and allows users to navigate all data relationships," said Brad Peters, Birst CEO. "The combination of Birst's open SQL interface, data compression and highly parallel processing, allows organizations to perform analytics that scale beyond associative data modeling at a fraction of the cost of larger in-memory database vendors."

Single node implementations of the Birst In-Memory Analytics Database are included in the Birst business analytics platform at no additional charge. The database will be generally available in January, 2012. For more information, go to

Eighteen percent of the respondents to a recent Unisphere Research study, "The Post-Relational Reality Sets In: 2011 Survey on Unstructured Data," are currently evaluating in-memory databases to address the growing volume and complexity of data within their enterprises.  The survey, which was underwritten by MarkLogic Corporation, gathered input from 446 data managers and professionals who are subscribers to Database Trends and Applications, and was conducted in March and April of 2011.

Learn more about the Birst In-Memory Analytics Database by joining a live webinar on Thursday, January 19, 2012 at 10 am PT. Register today at