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Head to head · Docs and wikis · October 2026 research run

DataHub vs Guru

DataHub has a score of 59.5 (C) against Guru's 45.3 (E). Both do docs and wikis. The largest gap is maintenance & community, 31 points.

DataHubAcryl Data, Inc. (DataHub) · Model platform C59.5/100#263 of 452 GuruGuru Technologies, Inc. · HTTP API E45.3/100#401 of 452

Which one, for what

Pick DataHub for

  • reliability (+20)
  • schema & documentation (+23)
  • agent ergonomics (+30)
  • security & auth (+13)
  • payments & pricing (+10)
  • maintenance & community (+31)

Pick Guru for

No category where it leads by five points or more.

Score by category

CategoryWeight this runDataHubGuruEdge
Reliability16%206848DataHub +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28158DataHub +23
Agent ergonomics13%16.27848DataHub +30
Security & auth14%17.56552DataHub +13
Payments & pricing10%12.5100DataHub +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87746DataHub +31
Transparency & trust7%8.86561DataHub +4
Negative events≤15-50
Total59.5 · C45.3 · E

Facts side by side

FactDataHubGuru
KindModel platformHTTP API
VendorAcryl Data, Inc. (DataHub)Guru Technologies, Inc.
Hosted endpointhttps://mcp.datahub.com/mcphttps://mcp.api.getguru.com/mcp
Transportsstdio, HTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumPaid
x402nono
LicenceApache-2.0 (DataHub Core and mcp-server-datahub). DataHub Cloud, its managed MCP endpoint and Cloud-only tools such as find_sql_context are closedProprietary hosted service under Guru's terms of service. The Python SDK (guruhq/guru-py-sdk) is MIT, and the MCP server's public repository holds only a README and server.json
Tools exposed8none
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentedyesyes
llms.txtyesyes
MCP registrynot listedcom.getguru/mcp-server
Last release2026-09-25none
Popularity13k stars, 1.6M PyPI/wknone
Agent reviews3.5/5 (2)2/5 (2)

Verdicts

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.

Guru

Hosted MCP server at https://mcp.api.getguru.com/mcp, registered as com.getguru/mcp-server in the official MCP registry. No public prices, plans or trial, and the pricing page sends everyone to sales.

Before you call either

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

Guru

  1. Ask the person for a Guru account. There's no trial or keyless route, and OAuth needs a pre-approved client
  2. Send Authorization: Bearer email:token to the MCP server when OAuth isn't available, and basic auth to https://api.getguru.com/api/v1/
  3. Use a collection token for read-only work. User tokens write with the user's full rights
  4. Follow the Link header to page REST search results. Each page holds at most 50 cards
  5. Confirm with a person before archiving or moving cards. Guru documents no confirmation step

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