Informatica, a global leader in AI-powered cloud data management, has announced the expansion of its Intelligent Data Management Cloud (IDMC) services on Google Cloud, revealed at Google Cloud Next 2025. These enhancements deepen Informatica’s integration with Databricks, broaden capabilities in API management, and introduce robust Cloud Data Access Management (CDAM) features.This strategic move empowers enterprises to scale GenAI, agentic AI workflows, and data governance initiatives on a unified, secure, and AI-ready data infrastructure.
Deepened Ecosystem: Databricks Integration for Unified Data Intelligence
Informatica’s expanded IDMC services now support the Databricks Data Intelligence Platform on Google Cloud, helping eliminate data silos and create a seamless experience across platforms.
Databricks Features:
- 300+ Data Connectors for ingestion across hybrid and multi-cloud sources.
- No-Code Pipelines for efficient data transformation within Databricks.
- Data Profiling and Quality integrated directly with Databricks.
- Unity Catalog Integration for unified governance across data assets.
“Informatica’s expanded services with Databricks on Google Cloud deliver a seamless experience that benefits our joint customers as they build data intelligence,” said Roger Murff, VP, Technology Partners, Databricks.
API Center: Powering the Agentic Layer of AI-Driven Enterprises
The new API Center introduces next-generation API management capabilities tailored for modern AI-first businesses.
Highlights:
- Expose Any IDMC Process as an API – including AI and GenAI services.
- API Governance and Monitoring – with enhanced security via rate limiting and IP filtering.
- Multi-Environment Deployment – across cloud, on-prem, or hybrid.
- AI-Ready APIs – enabling definition and deployment of GenAI and Agent APIs for LLM-enabled apps.
“These expanded capabilities will make it easier for customers to ensure their data is AI-ready, enabling more advanced AI use cases like agentic AI in Google Cloud,” said Ritika Suri, Managing Director, AI & Data ISV Partnerships, Google Cloud.
CDAM: AI-Native Data Access Governance for Enterprise Compliance
Informatica’s Cloud Data Access Management (CDAM) offers enterprises the ability to securely share data and automate access controls in alignment with global compliance standards.
Key Benefits:
- No-Code Policy Authoring – supports regulations like GDPR, CPRA, HIPAA.
- Automated Access Control Workflows – accelerates approvals and ensures governance.
- Business-Aligned Risk Tolerance Settings – customized to enterprise requirements.
This allows enterprises to scale AI initiatives securely, especially in industries with stringent compliance demands such as healthcare, finance, and retail.
Accelerating GenAI and Agentic Workflows with Google Cloud & Vertex AI
The expanded services also include tight integrations with BigQuery and Vertex AI, supporting:
- Model Inference at Scale
- Agentic Workflow Automation
- End-to-End Data Lineage and Governance
“Together, Informatica and Google Cloud enable better business outcomes across a wide variety of industries,” said Rik Tamm-Daniels, Global VP, Informatica. “This expansion helps customers accelerate GenAI and analytics initiatives with the highest levels of data governance and security.”
Building an AI-Ready, Governed Enterprise Data Foundation
Informatica’s strategic expansion of IDMC services on Google Cloud reinforces its commitment to enabling secure, AI-driven enterprise transformation. Through support for Databricks, API orchestration, and automated data governance, organizations can:
- Break down data silos
- Accelerate AI application development
- Improve compliance and security
- Empower GenAI and agentic AI adoption at scale
This announcement positions Informatica as a cornerstone in enterprise data modernization and AI-readiness, helping businesses unlock intelligent value from data across every layer of the tech stack.
