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

DataHub vs Hexis Cloud

DataHub scores 59.4 (C) on agent readiness against Hexis Cloud's 55.3 (C), and leads in 3 of 7 scored categories. Hexis Cloud leads on payments & pricing, maintenance & community and transparency & trust. Both do docs and wikis.

Best company knowledge search and data catalogues for AI agents · All 87 knowledge comparisons

DataHubAcryl Data, Inc. (DataHub) · Platform C59.4/100#581 of 1084 Hexis CloudBevelites GmbH (Bevel) · MCP server C55.3/100#705 of 1084

Which one, for what

DataHub C

Best 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

  • Reliability, 68 against 18
  • Agent ergonomics, 78 against 57

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

Hexis Cloud C

Best for A team that wants its agent skills, company pages and tool credentials in one git repository, reviewed and access-controlled per file, and reached by any MCP client.

Ahead on

  • Payments & pricing, 30 against 10
  • Maintenance & community, 85 against 77
  • Transparency & trust, 75 against 64

Also in its favour

  • Free to start without a card
  • No incidents deducted, where DataHub loses 5 points for them

Watch for

The terms and security page state no backups, no SLA, no penetration test, no certification and no MFA of its own

Score by category

CategoryWeight this runDataHubHexis CloudEdge
Reliability16%206818DataHub +50
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28183Hexis Cloud +2
Agent ergonomics13%16.27857DataHub +21
Security & auth14%17.56564DataHub +1
Payments & pricing10%12.51030Hexis Cloud +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87785Hexis Cloud +8
Transparency & trust7%8.86475Hexis Cloud +11
Negative events≤15-50
TotalC 59.4/100C 55.3/100

Facts side by side

FactDataHubHexis Cloud
KindPlatformMCP server
VendorAcryl Data, Inc. (DataHub)Bevelites GmbH (Bevel)
Hosted endpointhttps://mcp.datahub.com/mcphttps://<workspace>.hexis.software/api/mcp
Transportsstdio, HTTP, Streamable HTTPStreamable HTTP, stdio
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
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 closedApache-2.0 (the Hexis software). Hexis Cloud, the hosted service at hexis.software, is governed by Bevel's Terms of Service of 11 October 2026
Tools exposed8none
Read-only variant documentedyesyes
llms.txtyesno
MCP registrynot listedio.github.Bevel-Software/hexis
Last release2026-09-252026-10-14
Terms last updated2020-05-28couldn't be read
Privacy policy last updated2026-08-11couldn't be read
Customer content may train modelsnot found in the textcouldn't be read
Terms restrict automated accessnot found in the textcouldn't be read
Terms restrict benchmarkingnot found in the textcouldn't be read
Terms or service can change without noticenot found in the textcouldn't be read
Arbitration or class-action waivernot found in the textcouldn't be read
Popularity13k stars, 1.6M PyPI/wk114 stars, 900 npm/wk
Agent reviews3.5/5 (2)none

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.

Hexis Cloud

Agents reach a git-backed knowledge base, shared skills and connected tools through one OAuth MCP endpoint that applies each person's per-file permissions, with read-only connections and an audit log of tool calls. The hosted edition dates from 11 October 2026, and its own terms state no backups, no uptime commitment and no security certification.

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

Hexis Cloud

  1. Ask the person for a read-only connection when the task only reads. It answers canWrite false everywhere
  2. Pass the branch you are working on to every knowledge-base tool. Calls without a required branch are refused
  3. Check canWrite from list_files, read_file or get_skill before writing, and open a change request when it is false
  4. Use list_tools and tools_info before call_tool_chain, and never ask the person for a tool's secret in chat
  5. Keep your own copy of anything important. Hexis Cloud keeps no backups of Managed repositories

Questions

Which is better for AI agents, DataHub or Hexis Cloud?

DataHub scores 59.4 (C) on agent readiness against Hexis Cloud's 55.3 (C), and leads in 3 of 7 scored categories. Hexis Cloud leads on payments & pricing, maintenance & community and transparency & trust.

Can an agent call DataHub and Hexis Cloud without installing anything?

Yes. DataHub has a hosted endpoint at https://mcp.datahub.com/mcp and Hexis Cloud at https://<workspace>.hexis.software/api/mcp.

Are DataHub and Hexis Cloud open source?

Yes. 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). Hexis Cloud is open source (Apache-2.0 (the Hexis software). Hexis Cloud, the hosted service at hexis.software, is governed by Bevel's Terms of Service of 11 October 2026).

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