Informatica Launches Industry's First and Only On-Demand Data Integration Service

Redwood City, Calif. - 8 March 2007

Innovative Informatica On Demand Data Replicator Delivers Simple, Affordable Answer for Customers

Informatica Corporation (NASDAQ: INFA), a leading provider of data integration software, today announced Informatica On Demand Data Replicator, its first and the industry’s only multi-tenant, on-demand service for cross-enterprise data integration.

Before today, enterprises had no simple solution to integrate data held off-premise in a software-as-a-service (SaaS) application with the data held in on-premise application software. Now, by using the Informatica On Demand Data Replicator, organizations are able to productively and securely replicate the corporate data and data schema managed in Salesforce to an on-premise database – without installing any in-house data integration software. This streamlines the integration process, and gives customers a new opportunity to gain additional business value from their integrated information assets.

“Data integration is increasingly challenging as information becomes fragmented between internal systems and externally-hosted systems,” said Sohaib Abbasi, chairman and CEO of Informatica. “Now, with Informatica On Demand Data Replicator, organizations can rapidly and cost-effectively replicate their off-premise data to ensure all the transactional and master data is available on-premise as needed. Finally, enterprises can more fully use software-as-a-service solutions without compromising data access or data integration.”

“Data integration is essential for companies who want to take advantage of this new era of innovation and creativity in on-demand computing known as The Business Web,” said Cindy Warner, senior vice president, global technology services, “With this new offering available as part of’s Apex Connect initiative, our customers can take advantage of industry-leading technology from Informatica to manage, share, and replicate their business information and data on demand.”

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