Head to head
Atlan vs Euno for AI agents
Short answer
On our default weights Euno scores 7.64 and Atlan scores 7.25. Euno scores higher on Lineage, Governance, Answer checks and Pricing; Atlan scores higher on Integrations. They tie on Agent access, Automation, Semantics and Deployment.
By The Lineage Desk · Best Data Catalogs · Published
Desk research from public vendor pages. Editorial assessment.
How do Atlan and Euno compare on each criterion?
| Criterion | Weight | Atlan | Euno | Higher score |
|---|---|---|---|---|
| Agent access to context | 15% | 9 | 9 | Tie |
| Cross-stack lineage | 13% | 7 | 9 | Euno |
| Automated context build | 13% | 9 | 9 | Tie |
| Governance agents can use | 13% | 8 | 9 | Euno |
| Business definitions and metrics | 12% | 7 | 7 | Tie |
| Answer quality checks | 8% | 7 | 9 | Euno |
| Integration breadth | 10% | 9 | 5 | Atlan |
| Pricing transparency | 8% | 2 | 5 | Euno |
| Deployment options | 8% | 4 | 4 | Tie |
Why: Agent access to context
Atlan: Serves context through SQL, APIs, an SDK and the Atlan MCP server.
Source: Atlan homepage
Euno: Serves 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.
Source: Euno: Context for AI Agents
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
Euno: Column-level lineage from sources through BI dashboards to AI agents, including business logic inside BI workbooks.
Source: Euno: Context for AI Agents
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
Euno: Maps assets automatically from day one and precomputes the context graph from APIs and query logs; Euno states zero onboarding lift.
Source: Euno homepage
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
Euno: Governance rules become live labels (for example certified or PII-free) that propagate through the graph, with persona-based access to context.
Why: Business definitions and metrics
Atlan: Metrics Generator, Semantic Views and Ontology Generator create business definitions from metadata.
Source: Atlan homepage
Euno: Extracts definitions from BI workbooks and SQL and syncs dbt with Looker; it does not offer a semantic layer of its own.
Why: Answer quality checks
Atlan: Lists evals and traces when activating context for agents, without detail on how answers are checked.
Source: Atlan homepage
Euno: Context Calibration generates benchmark questions, checks agent answers and suggests missing rules and glossary terms.
Why: Integration breadth
Atlan: Lists 110 connectors and an open-source App SDK for custom ones.
Source: Atlan connectors
Euno: Plans cap integrations at 3, 5 or 10; the full source list could not be read.
Source: Euno pricing
Why: Pricing transparency
Atlan: Pricing page leads to a sales form; no prices or tiers.
Source: Atlan pricing
Euno: Tiers, resource limits and a feature table are published, priced by data assets with unlimited users and agents, but no dollar prices.
Source: Euno pricing
Why: Deployment options
Atlan: SaaS; a self-hosted option is not stated.
Source: Atlan homepage
Euno: Cloud-native SaaS only, reading metadata only; no self-hosted or open-source option is described.
Source: Euno homepage
Which hops from warehouse to agent does each document?
Atlan: documents 5 of 5 stages
Euno: documents 5 of 5 stages
How do pricing and deployment compare?
| Atlan | Euno | |
|---|---|---|
| Type | Context layer (metadata platform) | AI context platform |
| Agent interface | Atlan MCP server, SQL, APIs, SDK | MCP server, Context API, Euno Assistant |
| Lineage | Relationship-level lineage in the data graph; column level not stated on the connectors page | Column level, from sources through BI dashboards to AI agents |
| Deployment | SaaS; Atlan states it never queries the rows in your tables. A self-hosted option is not stated. | Cloud-native SaaS; reads metadata only. No self-hosted or open-source edition described. |
| Pricing | Not published The pricing page leads to a Talk to Sales form. Source: Atlan pricing | 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. Source: Euno pricing |
| Entry price | Not published | Not published |
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 Euno if
- you need many ways for agents to reach context
- you need lineage from the warehouse through BI to the agent
- Data teams that want agents grounded in lineage and governance across warehouse, dbt and BI without finishing a semantic layer first
Frequently asked questions
Which is better for AI agents, Atlan or Euno?
On our default weights Euno scores 7.64 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 Euno?
Atlan: no prices published. Euno: 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. We do not compare total cost because most of these prices are not published.
Can Atlan and Euno 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.