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Best Data Catalogs mark: an unfinished lineage pathBest Data Catalogs

Platform-native options · Not scored

Snowflake Horizon and Databricks Unity Catalog as data catalogs for AI agents

Short answer

If your data, definitions and agents live inside Snowflake or Databricks, start with Horizon or Unity Catalog: both now include semantic definitions and lineage. A third-party platform earns its place when lineage, definitions and policies span several warehouses, transformation tools and BI tools. We describe these options and do not score them, because they come with the platform you already run.

By The Lineage Desk · Best Data Catalogs · Published

Desk research from public vendor pages. Editorial assessment.

What does Snowflake Horizon offer for agents?

  • Horizon Catalog plus Horizon Context, a governed semantic layer and data catalog with column-level lineage across Snowflake and external databases and documentation generated from metadata.

    Source: Snowflake: Horizon Context (read as a search summary)

  • External lineage reached general availability on 3 September 2026 after a preview from 16 January 2026.

    Source: Snowflake documentation release notes (read as a search summary)

  • Horizon Context appears as a preview in a release note dated 12 October 2026.

    Source: Snowflake documentation release notes (read as a search summary)

  • Snowflake agreed to acquire Select Star's team and technology (announced 24 November 2025) to expand Horizon Catalog.

    Source: Select Star homepage

Choose it when: Most of your data, semantic definitions and agents (for example Cortex) live inside Snowflake.

Watch for: Coverage of other warehouses, transformation and BI tools depends on what Snowflake connects; check the current documentation for your stack.

What does Databricks Unity Catalog offer for agents?

Choose it when: Your data, metrics and agents (for example Genie) live inside Databricks.

Watch for: Cross-platform lineage and definitions outside Databricks are not stated on the pages we read.

When does a third-party platform make sense?

When an agent's question crosses platforms: a metric defined in dbt, computed in one warehouse and shown in a BI tool another team owns. Several platforms in our ranking name Snowflake, Databricks or both on their pages; check each review for the integrations it documents.

PlatformNames Snowflake on pages readNames Databricks on pages read
DataHubYes (Snowflake connector)Yes (Databricks Genie connectable)
EunoYesNot stated
AtlanYesYes
AlationYesYes
CollibraNot statedYes (named Databricks' Governance Partner of the Year on its homepage)
AtScaleNot statedNot stated
CubeYesNot stated
Select StarYesNot stated
HoneydewNot statedNot stated

Based only on the pages we read; absence here does not mean the integration does not exist.

How do the acquisitions change the picture?

Frequently asked questions

Is Snowflake Horizon a data catalog?

Yes. Horizon Catalog is Snowflake's built-in catalog, and Horizon Context adds a governed semantic layer, per Snowflake's pages as summarized in search results.

Does Unity Catalog have a semantic layer?

Databricks describes Unity Catalog Semantics as an open semantic layer, with metric views announced as generally available and open source on 2 April 2026.

Why are these not in the ranking?

They are part of the data platform you already pay for, so ranking them against standalone products would compare different purchases.