About registering and integrating data sources

Updated: June 5, 2026

By registering or integrating a data source in Data Catalog, you bring in metadata at scale or on a scheduled basis from the data source in Collibra. You can integrate data from multiple data sources: databases, data lakes, warehouses, enterprise applications, ETL tools, BI solutions, and AI models.

The Integrations page in the Catalog application allows you to register a data source. This page contains two tabs:

• The Data source registration tab allows you to create a Database or File System asset from which you can start the synchronization of a data source. Use this tab for JDBC, S3, GCS, and ADLS integrations.
  

• The Integration configuration tab allows you to configure all other Metadata, ETL, BI, and AI integrations and start the synchronization. For example, Synchronize Databricks Unity Catalog, or Create a technical lineage via Edge.

Supported data sources

• Register data sources via JDBC Catalog connectors to connect to structured sources and collect metadata.
  For Snowflake documentation, go to Steps overview: Integrate Snowflake via Edge.
• Use native or API integrations for cloud platforms and tools that support automated ingestion:
  • Azure Data Lake Storage
  • Amazon S3
  • Databricks Unity Catalog
  • Google Knowledge Catalog
  • Google Cloud Storage
  • Microsoft Fabric
  • SAP Datasphere Catalog
  • Sigma
  • AI models:
    • AWS Bedrock AI
    • AWS SageMaker AI
    • Azure ML
    • Azure AI Foundry
    • Databricks AI models
    • Google Vertex AI
    • MLflow
    • SAP AI Core
    • Snowflake Cortex AI