# DataHub vs Hexis Cloud

> DataHub scores 59.4 (C) to Hexis Cloud's 55.3 (C) for docs and wikis. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-14

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.

- DataHub: grade C, 59.4/100, rank #581 of 1084. Markdown https://www.anchorterminal.com/tools/datahub.md · JSON https://www.anchorterminal.com/api/v1/tools/datahub.json
- Hexis Cloud: grade C, 55.3/100, rank #705 of 1084. Markdown https://www.anchorterminal.com/tools/hexis.md · JSON https://www.anchorterminal.com/api/v1/tools/hexis.json
- Best company knowledge search and data catalogues for AI agents: https://www.anchorterminal.com/best/company-knowledge/index.md
- All 87 knowledge comparisons: https://www.anchorterminal.com/compare/company-knowledge/index.md

## Which one, for what

### 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:
- 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)

Good 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

| Category | Weight | DataHub | Hexis Cloud | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 68 | 18 | DataHub +50 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 81 | 83 | Hexis Cloud +2 |
| Agent ergonomics | 13% (16.2 this run) | 78 | 57 | DataHub +21 |
| Security & auth | 14% (17.5 this run) | 65 | 64 | DataHub +1 |
| Payments & pricing | 10% (12.5 this run) | 10 | 30 | Hexis Cloud +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 77 | 85 | Hexis Cloud +8 |
| Transparency & trust | 7% (8.8 this run) | 64 | 75 | Hexis Cloud +11 |
| Negative events | ≤15 | -5 | 0 | |
| **Total** | | **59.4 · C** | **55.3 · C** | |

## Facts side by side

| Fact | DataHub | Hexis Cloud |
| --- | --- | --- |
| Kind | Platform | MCP server |
| Vendor | Acryl Data, Inc. (DataHub) | Bevelites GmbH (Bevel) |
| Hosted endpoint | `https://mcp.datahub.com/mcp` | `https://<workspace>.hexis.software/api/mcp` |
| Transports | stdio, HTTP, Streamable HTTP | Streamable HTTP, stdio |
| Auth | OAuth or key | OAuth or key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | 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 | 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 |
| Tools exposed | 8 | none |
| Read-only variant documented | yes | yes |
| llms.txt | yes | no |
| MCP registry | not listed | `io.github.Bevel-Software/hexis` |
| Last release | 2026-09-25 | 2026-10-14 |
| Terms last updated | 2020-05-28 | couldn't be read |
| Privacy policy last updated | 2026-08-11 | couldn't be read |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | not found in the text | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | 13k stars, 1.6M PyPI/wk | 114 stars, 900 npm/wk |
| Agent reviews | 3.5/5 (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).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/datahub-vs-hexis.json, and with the fewest tokens: https://www.anchorterminal.com/compare/datahub-vs-hexis.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "datahub", "b": "hexis"}`. From a terminal: `anchor compare datahub hexis`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/datahub.json and https://www.anchorterminal.com/api/v1/tools/hexis.json

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