Informatica's Spring launch of its platform integrates its data management platform with the key enterprise data platforms as well as a preview of its CLAIRE Copilot for Data Integration.

The product launch lands as Informatica named Krish Vitaldevara, a veteran of Microsoft, Google and NetApp, is chief product officer. Vitaldevara will be paired with Bala Kumaresan, global head of engineering. Kumaresan joined Informatica earlier this year and held executive roles at Informatica, Symantec, Oracle and F5.

With its latest platform release, Informatica is connecting its data management and integration platform more with key players. Informatica is projecting 2025 revenue of $1.67 billion to $1.72 billion, or growth of 4.6% at the midpoint.

Constellation Research analyst Michael Ni said:

"While hyperscalers compete to dominate compute and data platforms race to own storage, Informatica is reinforcing its role as the trusted metadata layer enterprises depend on to govern AI at scale. Its tighter native integrations with Databricks, Snowflake, and the cloud giants don’t dissolve boundaries—they strengthen them—making Informatica the connective tissue that unifies data quality, lineage, and policy without being subsumed by expanding and increasingly complex stacks."

Here's a breakdown of some of the Informatica additions.

Data integration

  • Informatica launched SQL Extract Load Transform support for Databricks, Google BigQuery, Amazon Redshift and Microsoft Fabric. Informatica is adding the capability to transform data pipeline flows into SQL ELT to streamline data processing.

  • Private Link support for Microsoft Fabric with One Lake, Lakehouse and Data Warehouse.
  • Support for Apache Iceberg and Delta Lake tables with Amazon S3 storage and Hive Metastore. UniForm support for Databricks and native connector to Oracle Autonomous Database.
  • Preview of CLAIRE Copilot for data integration to generate data pipelines with natural language.
  • Unstructured data processing to identify patterns, relationships and data field types in unstructured data via CLAIRE.

iPaaS

  • Application integration with GenAI recipes, a set of more than 10 prebuilt packaged integration processes recipes. Recipes include Snowflake, Databricks, Google Vertex and Amazon Bedrock as well as process automation scenarios with Salesforce, Veeva, Zendesk, Shopify and others.
  • Application Integration runtime to scale up API and app integration.
  • New connectors for Google VertexAI, Snowflake Cortex, Databricks MosaicAI and Cohere. Informatica also added new messaging and application connectors.
  • Support for industry-specific standards for finance, securities, logistics and supply chain and aviation.
  • CLAIRE Copilot for iPaaS for assistance with app-to-app integrations, insights and use cases and automated object mappings.

Master Data Management (MDM) and governance

  • CLAIRE GPT integration for MDM to use natural language processing to search and explore metadata and data within MDM.
  • Match external data to MDM records without loading.
  • Dashboard sharing, public API enhancements and usability features.
  • Informatica also added governance tools with a new data access management page, automated address verification, and data access policy support for Microsoft Power BI.

Business Research Themes

Data to Decisions

Roles

Chief Data Officer, Chief Information Officer

Tags

master data management