DataHub and Google expand AI data tools integration — DataHub open-sources connector for Google's data catalog on April 22, 2026

DataHub announced at Google Cloud Next that it expanded collaboration with Google, open-sourced a connector for Google Cloud Knowledge Catalog (Google's data organization tool) with two-way syncing of metadata (descriptive information about where data lives and what it contains), and added native support for Iceberg Rest Catalog on Google Cloud BigLake (Google's unified data warehouse).

The two-way metadata sync means when data teams at one company update where a dataset lives or what it contains, that information automatically flows to the other platform — eliminating manual copy-pasting and keeping records in sync across tools. This matters because data engineers at large companies like Etsy and Trustpilot use multiple data platforms simultaneously.

For data teams building AI systems, this removes a major friction point: they can now organize and catalog data once instead of maintaining separate records in Google's system and DataHub, cutting the time spent on data governance (ensuring data quality and access rules) and letting them deploy AI models faster with accurate, trusted data sources.