Informatica World 2026: Informatica Brings Headless Data Management, Lakebase Connectivity, Golden Record Publishing and Unity Catalog Tag Extraction to the Databricks Platform

Unveiled at Informatica World 2026, the innovations deliver governed, enterprise-grade data across every layer of the AI stack – helping joint customers build and deploy reliable AI agents at scale.

“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, VP, ecosystems and technology, Informatica from Salesforce. “Together with Databricks, we’re building the data foundation the agentic enterprise demands.”

“Customers consistently ask us to help them operationalize agents with well governed data that can scale in production,” said Stephen Orban, SVP, product ecosystem & partnerships, Databricks. “Our deepening partnership with Informatica gives joint customers the high-quality data foundation they need to deploy AI agents reliably and securely across the enterprise.”

Native Integration of Informatica’s Headless Intelligent Data Management Cloud Through MCP Servers in Databricks Agent Bricks
The first innovation introduces Informatica Intelligent Data Management Cloud (IDMC) headless data management, integrated natively with Databricks Agent Bricks. Built on the Model Context Protocol (MCP) – the emerging industry standard for AI agent interoperability – the servers allow enterprises to invoke Informatica microservices, including metadata search and address validation, directly within agent workflows with no bespoke integration required. Currently in Private Preview with availability planned for the summer 2026 release, Informatica’s headless data management MCP Servers will also be available via the Databricks Marketplace.

Expanded Connectivity for Databricks Lakebase with Purpose-Built Connecto
The second is a purpose-built Named Connector for Databricks Lakebase, optimized for the unique capabilities offered in Lakebase. Designed for the agentic use case, it ingests, transforms and governs transactional OLTP data flowing into Lakebase to fuel Agent Bricks in production. The Named Connector for Databricks Lakebase is intended to be made available as part of the October 2026 release.

Streamlined Publication of Trusted Golden Records from Informatica MDM to the Databricks lakehouse
The third innovation, also planned for the October 2026 release, streamlines the deployment of Informatica’s Master Data Management (MDM) in bringing master data into the Databricks intelligence layer. The MDM Extension for Databricks enables enterprises to automatically publish trusted golden records from Informatica’s MDM platform directly into Databricks SQL, with pre-configured schemas for Customer, Supplier, Product and Location domains and seamless extraction of master data hierarchies and relationships.

Expanded Enterprise Catalog of Catalogs Capabilities for Data Stewards
The fourth and final innovation further solidifies the Informatica – Databricks better together governance story. Informatica’s Cloud Data Governance and Catalog (CDGC) will now support the extraction of tags from Unity Catalog – available as part of the April 2026 release – extracts governance tags from Databricks Unity Catalog and surfaces them natively within the Informatica Data Catalog, federating governance across both platforms without duplicating stewardship effort.

“We’re embracing Unity Catalog and adding the holistic interoperability enterprise customers are asking for to securely democratize all their enterprise data assets.” said Rik Tamm-Daniels, VP, ecosystem & technology alliances, Informatica. “The extraction of tags from Unity Catalog showcases CDGC as the ‘Catalog of Catalogs’ in action: from governance of the Databricks Lakehouse, to sources across enterprise data estate, Informatica unifies it into a single, trusted enterprise view.”