SQL Power MatchMaker Open Source Press Release

Canadian Business Intelligence Firm SQL Power launches first commercially-supported Open Source Data Cleansing Tool

Toronto, Canada, November 19, 2007 - Is Open Source software the way of the future? The Data Warehousing experts at Toronto-based SQL Power Group are betting on it. On 11/16/07, SQL Power published the source code of their popular Data Cleansing Tool the SQL Power MatchMaker on their web site (www.sqlpower.ca). This release makes them the first-to-market with a commercially-supported Open Source data cleansing tool that cleanses, de-dupes and corrects addresses globally.

Since 1999, SQL Power has been using their powerful data cleansing tool the SQL Power MatchMaker on many of their consulting assignments, giving them a clear competitive edge over the competition. So why are they giving it away for free as Open Source software?

"In support of the Open Source movement and following up on our very popular open source Data Modeling tool the SQL Power Architect, SQL Power is providing companies with a low cost (Free) alternative to SAS's DataFlux and other proprietary data cleansing tools, that typically cost well over $100,000 in license fees, SQL Power has decided to distribute the SQL Power MatchMaker for free to organizations around the world that need to cleanse and de-dupe their CRM or Data Warehouse data. By embracing the open source model, we're also leveraging the efforts of the world-wide Java community." said Sam Selim, president of SQL Power.

Selim believes that Open Source software is the future for Data Warehouse & Business Intelligence projects, because clients can take the money they used to spend on license fees and use it towards value-adding development.

Is this strategy working? The 30,000+ downloads of the SQL Power Architect (SQL Power's Data Modeling tool) over the first 3 months of its Open Source release suggests that it is.

Established in 1988 and privately held, SQL Power is a leading Canadian software consulting firm specializing in Data Warehousing, Business Intelligence and Data Migration.