Knowledge Catalog release notes

Data domains in Knowledge Catalog allow you to logically organize the resources within the enterprise to discover and curate your data at scale. This feature is available in Preview.

For more information, see About data domains.

Knowledge Catalog support for importing metadata from dbt Core and MetricFlow is available in Preview.

You can use the gcloud alpha dataplex dbt metadata-jobs command to extract and import technical, semantic (MetricFlow), operational, data quality, and lineage metadata from dbt Core artifacts into Knowledge Catalog.

For more information, see Import metadata from dbt Core and About metadata connectors.

Governance workflows let you set up automated controls for data product access management by providing a request-review mechanism. This feature is available in preview.

For more information, see About governance workflows.

Data lineage control at the organization, folder, or project level is generally available for BigQuery, Managed Service for Apache Spark, and Managed Service for Apache Airflow.

For more information, see About data lineage ingestion control and Configure data lineage ingestion for a service.

Knowledge Catalog connectors for importing metadata from SQL Server and PostgreSQL data sources are available in Preview.

Knowledge Catalog connectors automatically extract metadata (technical, operational, and business) from external data sources and import it into Knowledge Catalog entry groups. You can schedule metadata import runs on a set schedule.

For more information, see About database connectors and Manage connector jobs.

You can control data lineage ingestion for BigQuery and Managed Service for Apache Airflow at the organization, folder, or project level. This feature is available in preview.

For more information, see Control data ingestion.

Knowledge Catalog connectors for importing metadata from Oracle and MySQL data sources are available in Preview.

Knowledge Catalog connectors automatically extract metadata (technical, operational, and business) from external data sources and import it into Knowledge Catalog entry groups. You can schedule metadata import runs on a set schedule.

For more information, see About database connectors and Manage connector jobs.

Knowledge Catalog automatic discovery of Cloud Storage data is available in GA.

Automatic discovery lets you scan data in Cloud Storage buckets to extract and catalog metadata in Knowledge Catalog. As part of a discovery scan, automatic discovery creates BigLake external tables, non-BigLake external tables, or BigLake object tables in BigQuery, making the metadata available for search and analysis.

For more information, see Discover and catalog Cloud Storage data.

Knowledge Catalog now supports data profile scans for unstructured data (such as PDFs in Cloud Storage) on existing BigQuery object tables. This feature uses Vertex AI Gemini models to extract semantic insights, including entities and relationships, from unstructured content.

For more information, see About unstructured data insights and Use data profile for unstructured data.

Starting June 1, 2026, the Data Catalog service begins a phased shutdown. From this date onward, you might experience disruptions or a complete lack of access to Data Catalog APIs. Knowledge Catalog (formerly known as Dataplex Catalog) operates without impact.

For more information about migrating from Data Catalog to Knowledge Catalog, see Transition from Data Catalog to Knowledge Catalog.

You can use the lookupContext method to retrieve a pre-formatted bundle of data asset context optimized for interactive agentic workflows. This LLM-ready context helps to ground your agents in assessing and using data assets.

This feature is available in preview.