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Actuate And DataStax Partner To Deliver Big Data Analytics Solutions For Apache Cassandra

Cassandra Summit 2012 Actuate Corporation (NASDAQ: BIRT), The BIRT Company - delivering more insights to more people than all BI companies combined, today announced an alliance with DataStax, the commercial leader in Apache Cassandra™. The partnership will make it easier for IT departments to organize and analyze data from Big Data workloads and traditional data sources. This approach will accelerate time to insight for business decision makers.

Both companies offer commercial products and services to support specific open source projects. Actuate supports, enhances and scales BIRT with ActuateOne to deliver business and consumer insights to the desktop and to touch devices. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop and enterprise search with Apache Solr, creating a smartly integrated, Big Data platform.

Cassandra Summit 2012: BIRT Exchange is a community site for BIRT developers who are adding reporting, analytics and business intelligence capabilities to Java applications. BIRT Exchange is a proud sponsor of the Cassandra Summit 2012, the premier global conference for the Apache Cassandra Community. The conference begins today, August 8 and will be held at The Hyatt Regency, Santa Clara.

What the Actuate and DataStax partnership means for BIRT developers:

The BIRT developer community is increasingly demanding support for Cassandra, the popular, Big Data NoSQL DBMS for online transactions. BIRT enables access to Cassandra data sources and facilitates further refinement and exploration of query results in a graphical, customizable and highly interactive manner. Query results can be combined with other data sources to provide further insight and analysis of an organization’s data landscape. Once key insights have been found, BIRT provides a plethora of exportable formats, (including XLS, DOC, PPT, PDF and Open Document Format) that can cater to however Big Data application end-users want to view and analyze the resulting data set.

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