SOURCE: Pentaho Corporation

May 15, 2007 10:00 ET

Pentaho Announces General Availability of Pentaho Data Integration 2.5

New Release Provides Massive Scalability and Improved Developer Productivity

BOSTON, MA -- (MARKET WIRE) -- May 15, 2007 -- The Data Warehousing Institute (TDWI) World Conference Spring 2007 -- Pentaho Corp., creator of the world's most popular open source business intelligence (BI) suite, today announced General Availability of Pentaho Data Integration 2.5. Formerly known as the Kettle project, Pentaho Data Integration 2.5 upgrades the world's most popular open source Extract, Transform, and Load (ETL) project with enhanced MySQL database support, advanced error handling, and user interface updates designed to improve ETL developer productivity.

Pentaho Data Integration 2.5 now includes support for the MySQL bulk load interface, allowing for faster performance when moving large amounts of data into MySQL databases. MySQL bulk extracts are also supported for organizations that are integrating data from MySQL and other sources to load data marts and data warehouses. Pentaho Data Integration 2.5 additionally provides advanced error handling, allowing administrators to create rules for handling bad data that generates exceptions during the load process.

Widely recognized for its powerful but intuitive drag-and-drop graphical interface, Pentaho Data Integration 2.5 provides user interface upgrades designed to accelerate common user tasks. The new interface uses an updated tree-based transformation explorer to make it easy to access and navigate Pentaho Data Integration's rapidly-growing library of more than 70 available data transformations. Frequently-used transformations can now be added to a user-specific Favorites group.

Pentaho Data Integration 2.5 now also supports the Apache Virtual File System, providing a uniform view of content from variety of locations such as files on the local file system, a remote file system, on an HTTP server, or inside a zip archive. The new release provides advanced design-time validation algorithms to ensure proper ETL job design and avoid errors.

"Ease of use and tight integration with the MySQL database have really helped make Pentaho Data Integration popular with MySQL users," said Edwin DeSouza, senior director of Product Marketing at MySQL. "The new features in Pentaho Data Integration 2.5, coupled with MySQL Enterprise, will only accelerate the use of world-class open source technology for data warehousing."

"This rate of evolution could only be possible in an open source model," said Matt Casters, chief architect for data integration at Pentaho. "We're driving the product forward to add more enterprise features, and make it easier to use at the same time. Any organization looking to improve its data infrastructure should take a few minutes to download and try it." A short video interview with Matt Casters is available now to registered users at

To download the General Availability release of Pentaho Data Integration, please visit

Subscription support for production deployments of Pentaho Data Integration 2.5 is available immediately from Pentaho. For more information on Pentaho, see

About Pentaho

Pentaho provides a full spectrum of open source Business Intelligence (BI) capabilities including reporting, analysis, dashboards, data mining, data integration, and a BI platform that have made it the world's most popular open source BI suite. Formed by a highly experienced team of industry veterans, Pentaho's mission is to bring innovative, high quality technology and professional support to the BI market. Pentaho uses a revolutionary approach to development, distribution and support made possible by an open source business model. Pentaho is the primary sponsor and owner of popular open source projects including JFreeReport, Kettle, Mondrian, and Weka. Pentaho's technologies support a wide range of business initiatives from sales and profitability analysis, customer analysis, HR reporting, Financial reporting, KPI dashboards, Supply Chain analytics, and operational reporting.

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