Informatica Expands Trusted Agentic Data Management Across Major Cloud Platforms

Informatica from Salesforce has announced a comprehensive series of strategic partnership expansions designed to empower enterprises to build, deploy, and scale trusted agentic AI workflows across their entire technology estate. The innovations span integrations with Amazon Web Services (AWS), Databricks, Google Cloud, Microsoft, and Snowflake, positioning Informatica as the unified data foundation for the agentic enterprise.

The announcements address a critical market reality: organizations adopting agentic AI are held back by unreliable, fragmented, and ungoverned data. With 89% of data leaders believing agent interoperability will soon be required to do business, and 89% stating that a strong data foundation is the most critical factor for successful AI adoption, enterprises need enterprise-grade data management embedded directly into their AI agent workflows.

“The organizations that win the AI race will be those that put trusted, governed data in front of their agents from day one,” said Rik Tamm-Daniels, Vice President, Ecosystems and Technology, Informatica from Salesforce. “These announcements demonstrate our unwavering commitment to being the data intelligence layer across every major cloud and data platform. We’re giving enterprises the confidence to operationalize agentic AI at scale.”

Across all partnerships, Informatica is making its Headless Intelligent Data Management Cloud (IDMC) available through Model Context Protocol (MCP) servers, a rapidly emerging interoperability framework for AI agents. This approach eliminates the need for custom integrations, allowing enterprises to invoke Informatica’s core data services — metadata search, address verification, master data management, and data quality — directly within agentic workflows on any cloud.

These partnerships deliver three critical capabilities for enterprise agentic success:

• Metadata Context: Agents understand asset classifications, business terms, and governance policies, knowing which data is safe to act on and which is sensitive.
• Unified Master Records: Agents operate on single source-of-truth data, preventing personalization and compliance failures caused by fragmented or duplicate records.
• Point-of-Entry Quality: Data validation occurs immediately upon ingestion, preventing errors from propagating downstream and undermining agent accuracy.

By making these capabilities available across Databricks, Snowflake, AWS, Google Cloud, and Microsoft — the platforms enterprises are standardizing on — Informatica ensures that high-quality data management is accessible to all business personas, not just technical teams.

Informatica’s MCP servers and agentic integrations are rolling out across cloud partners with varying general availability timelines — from immediate availability in Microsoft Foundry and Google Cloud to preview status on AWS and summer 2026 GA for several Databricks and Snowflake capabilities. Customers can discover and activate these integrations directly within their cloud platform partner ecosystems.