Sunopsis Delivers High Performance for Loading Teradata Warehouses

Sunopsis' Open Connector provides Teradata clients with quicker access to enterprise data

February 14, 2005 - Sunopsis, one of the world's leading data integration vendors, today announced that it has developed the Sunopsis Open Connector for the Teradata Warehouse, Teradata's industry-leading enterprise data warehousing platform.

The Sunopsis Open Connector for Teradata helps organizations streamline the task of accessing and reconciling data from diverse production applications and speed the loading of data into their Teradata Warehouse.

"Teradata provides an extremely powerful database engine to process massive amounts of data and perform very complex calculations," explained Stephen Brobst, Chief Technology Officer of Teradata. "Sunopsis' architecture leverages this power to transform data. Sunopsis implements what is called an ELT (Extract, Load and Transform) approach, instead of the more traditional ETL approach, and this is what makes the difference."

"The biggest technical challenge was to identify an ETL tool that would scale well enough to load the Teradata platform," said José Francisco Calero, Development Manager at Grupo Cortefiel, a major retail fashion company in Europe that manages over three terabytes of information in their Data Warehouse. "The fact that Sunopsis first loads the data on Teradata and then executes the transformations in bulk mode, leveraging the power of the Teradata engine, is clearly a tremendous advantage."

The Sunopsis Open Connector for Teradata includes open extensions that enable Sunopsis to leverage native SQL, optimized for the Teradata platform.


Available immediately, an active license of Sunopsis' data integration product is required to run this Open Connector.

About Sunopsis

Sunopsis empowers companies to improve business responsiveness by placing the right data at the right place, at the right time. The company's next-generation data integration products allow organizations to efficiently manage and share data from disparate data sources without the complexity and cost of traditional data integration solutions. For more information, visit