Enterprise data management — catalog, quality, governance, integration and master data — on the IDMC platform.
Part of Salesforce · Also known as: IDMC, Intelligent Data Management Cloud, Informatica from Salesforce
Trusted data
Integrate, catalog, govern, improve and master enterprise data — now as part of Salesforce.
Connect sources.
Discover and classify.
Apply policies and lineage.
Measure and fix quality.
Create golden records.
2025
Salesforce completes its acquisition of Informatica.
Today
Informatica operates as part of Salesforce.
Move
Ingestion, ETL/ELT and application integration services within IDMC for moving and transforming data across clouds and on-premises systems at enterprise scale.
Understand
Metadata cataloging, lineage, business glossary and policy management that make data findable, understandable and accountable across the estate.
Profiling, quality rules and monitoring that measure and enforce the fitness of data for analytics and AI workloads.
Master
Multidomain MDM for customer, product, supplier and reference data — creating governed golden records that downstream systems and AI can rely on.
AI
Informatica's AI engine assists with classification, mapping recommendations and anomaly detection across the platform, reducing manual stewardship effort.
Situation
AI initiatives stall because training and grounding data is ungoverned and untrusted.
Approach
Catalog and classify critical data, apply quality rules and lineage, and certify governed datasets for AI consumption.
Value
AI teams build on data the organization can defend, with lineage for audit.
Situation
Every system holds a different version of the customer, blocking service, marketing and analytics.
Approach
Implement multidomain MDM with survivorship rules, stewardship workflows and distribution to consuming systems.
Value
One trusted customer record powering consistent operations and insight.
Situation
Reports to regulators require defensible lineage from source to submission.
Approach
Trace critical report data end to end through catalog and lineage, with quality controls at each hop.
Value
Faster, defensible reporting with evidence for audits.
Situation
Business teams want self-service data; risk teams fear uncontrolled copies.
Approach
Publish certified, documented datasets through the catalog with access policy attached.
Value
Self-service that accelerates work without losing control.
Enterprise adoption of Informatica typically spans assessing the data estate, designing the catalog and operating model, implementing quality rules, lineage and MDM domains, integrating with the systems that consume trusted data, and enabling stewards and owners so governance survives beyond the initial project.
Questions buyers ask
Informatica continues to operate its IDMC platform and is marketed as Informatica from Salesforce. For joint customers, tighter integration is a likely direction; for others, the platform remains multi-vendor. Tracking the official roadmap and protecting the underlying architecture is recommended either way.
With one painful, visible problem — a regulatory report nobody trusts, or a customer record every system disputes. Proving the operating model there, then scaling, tends to work better than a big-bang governance program, which usually stalls.
They solve different problems. A platform stores and processes data; MDM decides which version of a customer or product is true and governs that decision. Most mature estates need both.
IDMC complements platforms like Snowflake rather than competing with them: it catalogs, governs, masters and checks the quality of data wherever it lives, including inside that cloud platform.
Independent editorial profile. Vendor facts reviewed against official sources, September 24, 2026.
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