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Composite Enhances Analytics with New Data Virtualization Platform Release


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Composite Software introduced version 6.2 of the Composite Data Virtualization Platform at Data Virtualization Day 2012, its data virtualization conference in New York City.  The new release contains additional analytics enablement capabilities including support for more analytic data sources, additional analytic platform optimizations and expanded data governance. 

“Our last three releases have combined to make the Composite Data Virtualization Platform the most effective way for organizations to address ‘the data problem’ that slows time deployment of new analytics applications,” says Kevin Ott, Composite Software senior VP of product development. “High-performance access to big data, analytic appliances and data warehouses is far simpler and faster with Composite’s data virtualization solution.”

To enable easy access to nearly all the data sources that analysts require, Composite has addedPerformance Plus Connectivity for PostgreSQL 9.0 and 9.1. Beyond simple JDBC interfaces, Composite leverages PostgreSQL’s optimizer and SQL extensions to maximize federated query performance.  

Providing analysts with the widest range of analytic sandbox options, new features include heterogeneous data ship join for Microsoft SQL Server and HP Vertica; improved cache loading performance for SQL Server; Vertica as a cache target; Vertica OLAP support; and introspection performance improvements for DB2, Netezza, and Teradata.

And to ensure proper governance of analytical data, Composite 6.2 has added standard support for row-level security for finer grain data access control as well as a data lineage API for enhanced lineage and dependency visibility.  In addition, Composite 6.2 provides web data service developers with greater WSDL development flexibility via concrete binding for contract-first WSDL data sources and a new JSON option for REST data sources.

For a complete list of new features, download the Composite Information Server 6.2 data sheet here.


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