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Build a data catalog shortlist for AI agents
Short answer
Pick two to five platforms to compare every criterion score with its reason, plus agent interface, lineage, deployment and published pricing. The default view shows the top three on our weights.
Selected 3 of 5. Pick at least two.
| DataHub | Euno | Atlan | |
|---|---|---|---|
| Total and rank | 8.02 / 10 · rank 1 | 7.64 / 10 · rank 2 | 7.25 / 10 · rank 3 |
| Group | Context platform | Context platform | Context platform |
| Agent interface | MCP, Agent Context Kit, Skills, APIs and SDKs, Ask DataHub | MCP server, Context API, Euno Assistant | Atlan MCP server, SQL, APIs, SDK |
| Lineage | Lineage and impact analysis built from query logs, dbt projects and BI dashboards | Column level, from sources through BI dashboards to AI agents | Relationship-level lineage in the data graph; column level not stated on the connectors page |
| Deployment | Open source from a single node to cloud-hosted, hybrid and decentralized setups, or DataHub Cloud as managed SaaS. | Cloud-native SaaS; reads metadata only. No self-hosted or open-source edition described. | SaaS; Atlan states it never queries the rows in your tables. A self-hosted option is not stated. |
| Pricing | DataHub Core is open source. DataHub Cloud has no list price on datahub.com; an AWS Marketplace listing (Discover & Govern) shows $75,000 for a 12-month contract with up to 20 monthly active users. | Priced by the data assets you manage, with unlimited users and AI agents. Three tiers: Start (up to 150K resources), Scale (up to 1.5M resources) and Enterprise (any scale), each on request. No dollar prices are published. | Not published The pricing page leads to a Talk to Sales form. |
| Entry price | $75,000 for 12 months (AWS Marketplace, up to 20 monthly active users) | Not published | Not published |
| Context path stages documented | 5 of 5 | 5 of 5 | 5 of 5 |
| Agent access to context (15%) | 10 / 10highest in this shortlistMCP, Agent Context Kit, Skills, APIs and SDKs, with Claude, Cursor, Cortex, Genie, CrewAI, LangChain and Agent Development Kit named. | 9 / 10Serves context to agents through an MCP server and a Context API (up to 500K or 1M calls by plan), scoped by persona; Claude and Cursor are named. | 9 / 10Serves context through SQL, APIs, an SDK and the Atlan MCP server. |
| Cross-stack lineage (13%) | 7 / 10Lineage and impact analysis built from query logs, dbt projects and BI dashboards; column-level depth is not stated on the pages read. | 9 / 10highest in this shortlistColumn-level lineage from sources through BI dashboards to AI agents, including business logic inside BI workbooks. | 7 / 10Lineage is part of the data graph and its FAQ describes relationship-level lineage; column level is not stated on the connectors page. |
| Automated context build (13%) | 8 / 10Context Intelligence extracts metric definitions and join patterns "in days, not months" and flags context drift. | 9 / 10highest in this shortlistMaps assets automatically from day one and precomputes the context graph from APIs and query logs; Euno states zero onboarding lift. | 9 / 10highest in this shortlistAI agents draft descriptions, terms, metrics and semantic views; Atlan states the first 80% is ready before human review and most connectors go live within minutes. |
| Governance agents can use (13%) | 7 / 10Access and policy, data contracts and data quality, with RBAC, SSO and SOC 2 Type II; persona-scoped agent context is not described. | 9 / 10highest in this shortlistGovernance rules become live labels (for example certified or PII-free) that propagate through the graph, with persona-based access to context. | 8 / 10Governance, glossary and certification sit in the same graph with human certification; agent-scoped access is not described on the pages read. |
| Business definitions and metrics (12%) | 7 / 10Holds metrics and extracts metric definitions automatically; not a dedicated semantic layer. | 7 / 10Extracts definitions from BI workbooks and SQL and syncs dbt with Looker; it does not offer a semantic layer of its own. | 7 / 10Metrics Generator, Semantic Views and Ontology Generator create business definitions from metadata. |
| Answer quality checks (8%) | 7 / 10Detects context drift and routes it to experts; DataHub cites nearly 2X agent accuracy at Miro. | 9 / 10highest in this shortlistContext Calibration generates benchmark questions, checks agent answers and suggests missing rules and glossary terms. | 7 / 10Lists evals and traces when activating context for agents, without detail on how answers are checked. |
| Integration breadth (10%) | 9 / 10highest in this shortlist100+ pre-built connectors, plus an open-source project used by more than 3,000 organizations. | 5 / 10Plans cap integrations at 3, 5 or 10; the full source list could not be read. | 9 / 10highest in this shortlistLists 110 connectors and an open-source App SDK for custom ones. |
| Pricing transparency (8%) | 7 / 10highest in this shortlistOpen-source core is free; an AWS Marketplace listing shows $75,000 for 12 months and up to 20 monthly active users; no list price on datahub.com. | 5 / 10Tiers, resource limits and a feature table are published, priced by data assets with unlimited users and agents, but no dollar prices. | 2 / 10Pricing page leads to a sales form; no prices or tiers. |
| Deployment options (8%) | 10 / 10highest in this shortlistOpen source from a single node to hybrid and decentralized setups, or managed SaaS. | 4 / 10Cloud-native SaaS only, reading metadata only; no self-hosted or open-source option is described. | 4 / 10SaaS; a self-hosted option is not stated. |
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Head-to-head pages
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Frequently asked questions
How many platforms can I compare?
Two to five at a time.
Can I share a shortlist?
Yes. The selection is kept in the page address, so copying the link shares the same view.
Why are Stardog, data.world, Modus and Jedify missing?
They are reviewed but not scored, so there are no criterion scores to compare. See the reviewed, not scored page.