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Informatica Expands Partnerships with Databricks & Snowflake to Build Governed Infrastructure for Agentic AI
Informatica Expands Partnerships with Databricks & Snowflake to Build Governed Infrastructure for Agentic AI

Informatica Expands Partnerships with Databricks & Snowflake to Build Governed Infrastructure for Agentic AI

nformatica integrated its Intelligent Data Management Cloud with Databricks Agent Bricks through MCP servers to improve AI agent interoperability.

Published Updated

Key takeaways

  • Informatica has expanded partnerships with Databricks and Snowflake to enhance operational capabilities for agentic AI systems.
  • The integration of Informatica's Intelligent Data Management Cloud with Databricks improves AI agent interoperability through Model Context Protocol servers.
  • Organisations are prioritising scalable AI deployments that emphasise governance, interoperability, and metadata management.
  • Informatica introduced a connector for Databricks Lakebase to govern transactional data for AI systems.
  • Expanded governance interoperability allows Databricks Unity Catalog tags to be integrated into Informatica’s Cloud Data Governance platform.
5 min

At the Informatica World 2026 in Las Vegas, Informatica announced expanded partnerships with Databricks and Snowflake to help enterprises operationalise agentic AI systems using governed enterprise data.

The announcements reflect a broader shift in the enterprise AI market, where organisations are moving beyond experimentation and prioritising scalable AI deployments with stronger governance, interoperability and metadata management layers.

As part of its expanded collaboration with Databricks, Informatica introduced native integration between its Intelligent Data Management Cloud (IDMC) and Databricks Agent Bricks through Model Context Protocol (MCP) servers. MCP is emerging as a standard for interoperability between AI agents and enterprise systems. The integration allows enterprises to invoke Informatica services such as metadata search and address validation directly within AI workflows without requiring custom integrations.

“The organisations 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.

The company also introduced a connector for Databricks Lakebase, designed to ingest and govern transactional OLTP data flowing into production AI systems. Another update enables enterprises to publish “golden records” from the Informatica Master Data Management platform directly into Databricks SQL with pre-configured schemas for customer, supplier, product and location datasets.

Moreover, Informatica announced expanded governance interoperability through Unity Catalog tag extraction, allowing governance tags from Databricks Unity Catalog to surface within Informatica’s Cloud Data Governance and Catalog platform.

“Customers consistently ask us to help them operationalise agents with well-governed data that can scale in production,” said Stephen Orban, Senior Vice President, Product Ecosystem and Partnerships, Databricks.

Alongside the Databricks announcements, Informatica also expanded its partnership with Snowflake around AI governance and open-format data ecosystems. The company introduced support for MCP-based integrations with Snowflake Cortex AI, allowing governed enterprise data to be directly connected to AI agents and analytics workloads operating on Snowflake infrastructure.

Informatica also announced broader governance support for open-format ecosystems such as Apache Iceberg environments, enabling enterprises to maintain unified governance across structured and unstructured data systems spanning hybrid and multi-cloud architectures.

“We’re embracing Unity Catalog and adding the holistic interoperability enterprise customers are asking for to securely democratise all their enterprise data assets,” Tamm-Daniels added.



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