Head to head
Atlan vs DataHub for AI agents
Short answer
On our default weights DataHub scores 8.02 and Atlan scores 7.25. DataHub scores higher on Agent access, Pricing and Deployment; Atlan scores higher on Automation and Governance. They tie on Lineage, Semantics, Answer checks and Integrations.
By The Lineage Desk · Best Data Catalogs · Published
Desk research from public vendor pages. Editorial assessment.
How do Atlan and DataHub compare on each criterion?
| Criterion | Weight | Atlan | DataHub | Higher score |
|---|---|---|---|---|
| Agent access to context | 15% | 9 | 10 | DataHub |
| Cross-stack lineage | 13% | 7 | 7 | Tie |
| Automated context build | 13% | 9 | 8 | Atlan |
| Governance agents can use | 13% | 8 | 7 | Atlan |
| Business definitions and metrics | 12% | 7 | 7 | Tie |
| Answer quality checks | 8% | 7 | 7 | Tie |
| Integration breadth | 10% | 9 | 9 | Tie |
| Pricing transparency | 8% | 2 | 7 | DataHub |
| Deployment options | 8% | 4 | 10 | DataHub |
Why: Agent access to context
Atlan: Serves context through SQL, APIs, an SDK and the Atlan MCP server.
Source: Atlan homepage
DataHub: MCP, Agent Context Kit, Skills, APIs and SDKs, with Claude, Cursor, Cortex, Genie, CrewAI, LangChain and Agent Development Kit named.
Source: DataHub Cloud context platform
Why: Cross-stack lineage
Atlan: Lineage is part of the data graph and its FAQ describes relationship-level lineage; column level is not stated on the connectors page.
Source: Atlan connectors
DataHub: Lineage and impact analysis built from query logs, dbt projects and BI dashboards; column-level depth is not stated on the pages read.
Source: DataHub Cloud context platform
Why: Automated context build
Atlan: AI 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.
Source: Atlan homepage
DataHub: Context Intelligence extracts metric definitions and join patterns "in days, not months" and flags context drift.
Source: DataHub Cloud context platform
Why: Governance agents can use
Atlan: Governance, glossary and certification sit in the same graph with human certification; agent-scoped access is not described on the pages read.
Source: Atlan homepage
DataHub: Access and policy, data contracts and data quality, with RBAC, SSO and SOC 2 Type II; persona-scoped agent context is not described.
Source: DataHub Cloud context platform
Why: Business definitions and metrics
Atlan: Metrics Generator, Semantic Views and Ontology Generator create business definitions from metadata.
Source: Atlan homepage
DataHub: Holds metrics and extracts metric definitions automatically; not a dedicated semantic layer.
Source: DataHub Cloud context platform
Why: Answer quality checks
Atlan: Lists evals and traces when activating context for agents, without detail on how answers are checked.
Source: Atlan homepage
DataHub: Detects context drift and routes it to experts; DataHub cites nearly 2X agent accuracy at Miro.
Source: DataHub Cloud context platform
Why: Integration breadth
Atlan: Lists 110 connectors and an open-source App SDK for custom ones.
Source: Atlan connectors
DataHub: 100+ pre-built connectors, plus an open-source project used by more than 3,000 organizations.
Source: DataHub Cloud context platform
Why: Pricing transparency
Atlan: Pricing page leads to a sales form; no prices or tiers.
Source: Atlan pricing
DataHub: Open-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.
Why: Deployment options
Atlan: SaaS; a self-hosted option is not stated.
Source: Atlan homepage
DataHub: Open source from a single node to hybrid and decentralized setups, or managed SaaS.
Source: DataHub Series B announcement
Which hops from warehouse to agent does each document?
Atlan: documents 5 of 5 stages
DataHub: documents 5 of 5 stages
How do pricing and deployment compare?
| Atlan | DataHub | |
|---|---|---|
| Type | Context layer (metadata platform) | Context platform (open-source core) |
| Agent interface | Atlan MCP server, SQL, APIs, SDK | MCP, Agent Context Kit, Skills, APIs and SDKs, Ask DataHub |
| Lineage | Relationship-level lineage in the data graph; column level not stated on the connectors page | Lineage and impact analysis built from query logs, dbt projects and BI dashboards |
| Deployment | SaaS; Atlan states it never queries the rows in your tables. A self-hosted option is not stated. | Open source from a single node to cloud-hosted, hybrid and decentralized setups, or DataHub Cloud as managed SaaS. |
| Pricing | Not published The pricing page leads to a Talk to Sales form. Source: Atlan 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. |
| Entry price | Not published | $75,000 for 12 months (AWS Marketplace, up to 20 monthly active users) |
Which should you choose?
Choose Atlan if
- you need many ways for agents to reach context
- you want context built with little manual work
- Large data teams that want a wide connector catalog with AI-drafted context and human certification
Choose DataHub if
- you need many ways for agents to reach context
- you need self-hosting, open source or in-warehouse deployment
- Teams that want an open-source core or self-hosting, many agent interfaces and a large connector base
Frequently asked questions
Which is better for AI agents, Atlan or DataHub?
On our default weights DataHub scores 8.02 and Atlan scores 7.25. The better fit depends on which criteria matter most to you; the weight-your-own page lets you change the weights.
Which costs less, Atlan or DataHub?
Atlan: no prices published. DataHub: 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. We do not compare total cost because most of these prices are not published.
Can Atlan and DataHub be used together?
They cover the same layer, so most teams would pick one. The pages we read do not describe an integration between them.