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Databricks Lakehouse Federation

#26 of 29 in Analytical Data Store Software

Databricks Lakehouse Federation: A governed way for Databricks teams to query external databases and catalogs in place. Ranked #26 of 29 in Analytical Data Store Software by our editors (6.9/10); pricing: Paid; best for databricks users federating queries across external catalogs.

6.9/10Editor score
Databricks Lakehouse Federation6.9 Visit Databricks

At a glance

  • Editor score
    6.9 / 10
  • Pricing
    Paid
  • Best for
    Databricks users federating queries across external catalogs
  • Free plan
    No
  • Deployment model
    Cloud
  • Founded
    2013 · San Francisco, California
  • Facts checked
    24 Sep 2026
  • 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

Our verdict on Databricks Lakehouse Federation

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.

Your product? Our editors can test Databricks Lakehouse Federation in depth and publish a review, labelled as paid · from $149/mo →

Databricks Lakehouse Federation pricing

Plans Paid No free plan — trial or paid only. Prices checked 24 Sep 2026.
See plans on docs.databricks.com

Databricks Lakehouse Federation fact sheet

Free planNo
Paid fromNot verified
Deployment modelCloud
Storage architectureLakehouse
Compute scalingSeparate
Free storage limitNot verified
SQL supportYes
Cross-account data sharingNot verified
DeploymentCloud
PlatformsWeb
SupportDocs
Built forMid-market, Enterprise (editorial estimate)
Integrations13 integrations: MySQL, PostgreSQL, Teradata, Oracle, Amazon Redshift, Salesforce Data 360 …
PricingPaid (source)
Websitedocs.databricks.com
Facts checked24 Sep 2026

Databricks Lakehouse Federation integrations

Databricks Lakehouse Federation lists 13 integrations on its own site.

  • MySQL
  • PostgreSQL
  • Teradata
  • Oracle
  • Amazon Redshift
  • Salesforce Data 360
  • Snowflake
  • Microsoft SQL Server
  • Azure Synapse
  • Google BigQuery
  • Databricks
  • Hive Metastore
  • AWS Glue

Alternatives to Databricks Lakehouse Federation

See all Databricks Lakehouse Federation alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Databricks Lakehouse Federation 6.9/10

Databricks Lakehouse Federation is listed in our Analytical Data Store Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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