2008 Gartner Data Quality Magic Quadrant
Posted in Data Quality by Ivan Chong |![]() |
Gartner just released this year's report on their Data Quality Tools Magic Quadrant, ranking Informatica right in the mix among vendors listed in the leaders quadrant. These vendors have been recognized leaders for many years. Some may ask "how is it that Informatica has grown so fast to be recognized as a leader in data quality only two years after entering the market?" Gartner cites many of the reasons, including significant adoption, strong data profiling, domain-agnostic data cleansing, ease of use and positive support and services experiences.
Another reason that has often been discussed by industry analysts is the convergence of the data integration and data quality markets. Customers benefit from a tremendous amount of synergy between data integration and data quality. Anyone doing a data migration, data consolidation, data warehouse, or MDM project would consider that project a complete failure if the data is not accurate and consistent. In order to deliver a compelling data quality product, it must be built on top of a comprehensive data integration platform. Customers can then achieve the levels of scalability, volume processing speed, real-time responsiveness, and near-universal connectivity that the best data integration products provide.
There may be a cluster of vendors in the leadership quadrant for the Data Quality MQ, but in the Gartner Data Integration Magic Quadrant, the choices are much clearer. When making strategic buying decisions, customers can simply look at the intersection of those two reports and quickly discovering which vendors offer the best products.






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