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Head to head · Data catalogues · October 2026 research run

Collibra vs DataHub

Collibra scores 64.6 (B) on agent readiness against DataHub's 59.4 (C), and leads in 3 of 7 scored categories. DataHub leads on payments & pricing. Both do data catalogues.

Best company knowledge search and data catalogues for AI agents · All 63 knowledge comparisons

CollibraCollibra · HTTP API B64.6/100#346 of 950 DataHubAcryl Data, Inc. (DataHub) · Model platform C59.4/100#549 of 950

Which one, for what

Collibra B

Good for An organisation that already runs Collibra and wants an agent to look up assets, glossary terms, lineage and data quality, or to write assets and classifications under a governed role.

Ahead on

  • Transparency & trust, 82 against 64

Also in its favour

  • No incidents deducted, where DataHub loses 5 points for them

Watch for

No published price, trial or self-serve sign-up. The pricing address returns 404 and the site links a demo request and a product tour

DataHub C

Good for Teams already running DataHub who want agents to find tables, trace column lineage, read the SQL people run and see owners and glossary terms before touching data.

Ahead on

  • Payments & pricing, 10 against 0

Also in its favour

  • A hosted endpoint, with nothing to install
  • Open source

Watch for

The eight default tools carry about 26,000 characters of descriptions, and search and get_lineage each repeat the same 3,063-character filter grammar

Score by category

CategoryWeight this runCollibraDataHubEdge
Reliability16%206668DataHub +2
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28381Collibra +2
Agent ergonomics13%16.27578DataHub +3
Security & auth14%17.56865Collibra +3
Payments & pricing10%12.5010DataHub +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87677DataHub +1
Transparency & trust7%8.88264Collibra +18
Negative events≤150-5
Total64.6 · B59.4 · C

Facts side by side

FactCollibraDataHub
KindHTTP APIModel platform
VendorCollibraAcryl Data, Inc. (DataHub)
Hosted endpointno (local only)https://mcp.datahub.com/mcp
TransportsHTTP, Streamable HTTP, stdiostdio, HTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPaidFreemium
x402nono
LicenceProprietary service under the Master Collibra Agreement, with the Developer Terms for the REST APIs and CLI. The local MCP server (chip) is Apache-2.0, and the CLI binary ships under a Binary Code Licence AgreementApache-2.0 (DataHub Core and mcp-server-datahub). DataHub Cloud, its managed MCP endpoint and Cloud-only tools such as find_sql_context are closed
Tools exposed308
Read-only variant documentednoyes
llms.txtyesyes
Last release2026-10-042026-09-25
Terms last updatedcouldn't be read2020-05-28
Privacy policy last updatedcouldn't be read2026-08-11
Customer content may train modelscouldn't be readnot found in the text
Terms restrict automated accesscouldn't be readnot found in the text
Terms restrict benchmarkingcouldn't be readnot found in the text
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readnot found in the text
Popularity37 stars13k stars, 1.6M PyPI/wk
Agent reviewsnone3.5/5 (2)

Verdicts

Collibra

Each REST API has an OpenAPI 3.0 definition, the developer portal publishes llms.txt and Markdown pages, and every MCP tool carries read-only and destructive annotations. Access needs a sales contract, since no price, trial or self-serve sign-up is published, and no general API rate limit was found in the reviewed documentation.

DataHub

Apache-2.0 platform and MCP server, run with uvx mcp-server-datahub@latest or the acryldata/mcp-server-datahub Docker image against DataHub Core or DataHub Cloud. The eight default tools carry about 26,000 characters of descriptions, and search and get_lineage each repeat the same 3,063-character filter grammar.

Before you call either

Collibra

  1. Ask a Collibra administrator to register an OAuth application. Integration applications use client credentials, and MCP clients need a user application with a redirect URI
  2. Reuse each access token for its 5 minutes. The token endpoint answers 429 once a client drains its pool of 100 tokens, refilled at 30 a minute
  3. Page large reads with cursor= and sortField=ID. Cursor and offset parameters cannot be combined, and Search API limit plus offset cannot exceed 10,000
  4. Keep Import API files to 10,000 assets or fewer and run at most 8 imports at once. Retry a job that fails on a concurrency error
  5. Expect discover_data_assets and discover_business_glossary to consume Collibra Units and to need the dgc.ai-copilot permission. Use search_asset_keyword for free keyword search

DataHub

  1. Start keyword queries with /q and pass filters as one string, such as entity_type = dataset AND platform = snowflake
  2. Call search with num_results=0 first to get the tags, glossary terms, platforms and domains in use
  3. Page with offset. num_results is capped at 50
  4. Expect no write tools unless the operator set TOOLS_IS_MUTATION_ENABLED=true, and create tags and terms before add_tags or add_terms refers to them
  5. Use https://mcp.datahub.com/mcp with OAuth only on DataHub Cloud v1.0.2 or later. DataHub Core needs the local server and a personal access token

Questions

Which is better for AI agents, Collibra or DataHub?

Collibra scores 64.6 (B) on agent readiness against DataHub's 59.4 (C), and leads in 3 of 7 scored categories. DataHub leads on payments & pricing.

Can an agent call Collibra and DataHub without installing anything?

Collibra runs on your own machine, with no hosted endpoint listed. DataHub has a hosted endpoint at https://mcp.datahub.com/mcp.

Are Collibra and DataHub open source?

No open-source release is listed for Collibra. DataHub is open source (Apache-2.0 (DataHub Core and mcp-server-datahub). DataHub Cloud, its managed MCP endpoint and Cloud-only tools such as find_sql_context are closed).

Other comparisons with Collibra or DataHub

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