Databricks Lakehouse Federation review
A governed way for Databricks teams to query external databases and catalogs in place.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Databricks Lakehouse Federation gives teams a way to query external relational databases and supported catalogs through Databricks, without moving that data into a Databricks store first. It fits mid-market and enterprise organizations already working in Databricks that need ad hoc reporting, BI, proof-of-concept work, or incremental migration. It is a platform capability, not a standalone analytical warehouse, so it suits federating access more than replacing an analytical store.
Its breadth is a key consideration for teams with varied source systems. JDBC query federation supports MySQL, PostgreSQL, Redshift, Teradata, Oracle, Snowflake, SQL Server, Azure Synapse, BigQuery, Salesforce Data 360, and Databricks; catalog federation supports external catalogs including Hive Metastore and AWS Glue. SQL queries can be pushed down to external relational databases. Teams create connections and foreign catalogs, refresh catalog metadata, and run SQL from Databricks. That makes the fit strongest when Databricks is already the query workspace, rather than for organizations seeking a separate, general-purpose warehouse.
Governance is handled through read-only foreign catalogs in Unity Catalog, with fine-grained table-level access controls. This helps teams expose external data under Databricks access policies, while keeping the federated access read-only. The capability is paid, with usage-based charges that vary by cloud provider, region, and compute use; the pricing page does not give a fixed starting price. Documentation is the listed support channel. Choose it when governed, in-place querying across external sources is the priority; look elsewhere if the requirement is an analytical store that serves and stores data itself, or if write access to federated sources is needed.
Databricks Lakehouse Federation pros and cons
- Where it wins
- Federates queries across a broad range of external databases and catalogs
- Pushes SQL queries to external relational databases
- Uses Unity Catalog foreign catalogs with table-level access controls
- Where it doesn't
- Queries external stores rather than serving as an analytical store itself
- Foreign catalogs provide read-only access
- Usage-based charges vary by cloud provider, region, and compute use
Databricks Lakehouse Federation fact sheet, pricing and score →
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