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Birst Debuts In-Memory Database Optimized for AnalyticsDec 19, 2011 (Close-Up Media via COMTEX) -- Birst Inc., a provider of agile business analytics, has announced the release of the industry's in-memory database optimized exclusively for business analytics. Birst noted that its SQL-based, columnar database is designed to allow users to transform enterprise data into intelligent analytics at performance giving business users a way to explore all their data relationships -- unconstrained by the limited capabilities of single-table or associative in-memory models used by more primitive discovery tools. Bundled at no additional charge, the Birst in-memory databases make open, standards-based in-memory analytic more cost effective. The announcement is evidence of Birst's continued commitment to deliver capable Business Intelligence (BI) and analytics solution. "Organizations have massive amounts of data and require scalable ways to quickly analyze and visualize the insights stored within it," said Jim Leavitt, CEO of Cervello. "Data discovery tools are limited by the data sets they can handle and cannot deliver analytics that scale. High-volume, high-speed analytical queries can be accomplished using in-memory technology which is a key component in the future of business analytics." According to a release, 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. Other benefits include: -Analysis of data that is modified in real-time allows business users to make critical business decisions using the most current data. -A real relational database allows for complex (e.g. multi-pass) and ad hoc analysis of relationships not possible in simpler tools. -SQL interface and JAVA ensure compatibility with other applications. Organizations leverage existing infrastructure and programs to reduce costs and enhance efficiencies. "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." The Company said that 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 Jan., 2012. More Information: www.birst.com/webinars/in-memory www.birst.com ((Comments on this story may be sent to [email protected])) |