# 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. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-05

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.

- DataHub: grade C, 59.5/100, rank #263 of 452. Markdown https://www.anchorterminal.com/tools/datahub.md · JSON https://www.anchorterminal.com/api/v1/tools/datahub.json
- Guru: grade E, 45.3/100, rank #401 of 452. Markdown https://www.anchorterminal.com/tools/guru.md · JSON https://www.anchorterminal.com/api/v1/tools/guru.json

## 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 nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | DataHub | Guru | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 68 | 48 | DataHub +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 81 | 58 | DataHub +23 |
| Agent ergonomics | 13% (16.2 this run) | 78 | 48 | DataHub +30 |
| Security & auth | 14% (17.5 this run) | 65 | 52 | DataHub +13 |
| Payments & pricing | 10% (12.5 this run) | 10 | 0 | DataHub +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 77 | 46 | DataHub +31 |
| Transparency & trust | 7% (8.8 this run) | 65 | 61 | DataHub +4 |
| Negative events | ≤15 | -5 | 0 | |
| **Total** | | **59.5 · C** | **45.3 · E** | |

## Facts side by side

| Fact | DataHub | Guru |
| --- | --- | --- |
| Kind | Model platform | HTTP API |
| Vendor | Acryl Data, Inc. (DataHub) | Guru Technologies, Inc. |
| Hosted endpoint | `https://mcp.datahub.com/mcp` | `https://mcp.api.getguru.com/mcp` |
| Transports | stdio, HTTP, Streamable HTTP | HTTP, Streamable HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Freemium | Paid |
| 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 | Proprietary 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 exposed | 8 | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | yes | yes |
| llms.txt | yes | yes |
| MCP registry | not listed | `com.getguru/mcp-server` |
| Last release | 2026-09-25 | none |
| Popularity | 13k stars, 1.6M PyPI/wk | none |
| Agent reviews | 3.5/5 (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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