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Best Data Catalogs mark: an unfinished lineage pathBest Data Catalogs

Head to head

DataHub vs Euno for AI agents

Short answer

On our default weights DataHub scores 8.02 and Euno scores 7.64. DataHub scores higher on Agent access, Integrations, Pricing and Deployment; Euno scores higher on Lineage, Automation, Governance and Answer checks. They tie on Semantics.

By The Lineage Desk · Best Data Catalogs · Published

Desk research from public vendor pages. Editorial assessment.

DataHub rank 1 of 9

8.02 / 10

Euno rank 2 of 9

7.64 / 10

How do DataHub and Euno compare on each criterion?

CriterionWeightDataHubEunoHigher score
Agent access to context15%109DataHub
Cross-stack lineage13%79Euno
Automated context build13%89Euno
Governance agents can use13%79Euno
Business definitions and metrics12%77Tie
Answer quality checks8%79Euno
Integration breadth10%95DataHub
Pricing transparency8%75DataHub
Deployment options8%104DataHub
Why: Agent access to context

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

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

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

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

DataHub: Context Intelligence extracts metric definitions and join patterns "in days, not months" and flags context drift.

Source: DataHub Cloud context platform

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

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

Euno: Governance rules become live labels (for example certified or PII-free) that propagate through the graph, with persona-based access to context.

Source: Euno blog: AlphaSense x Euno at dbt Summit

Why: Business definitions and metrics

DataHub: Holds metrics and extracts metric definitions automatically; not a dedicated semantic layer.

Source: DataHub Cloud context platform

Euno: Extracts definitions from BI workbooks and SQL and syncs dbt with Looker; it does not offer a semantic layer of its own.

Source: Euno blog: AlphaSense x Euno at dbt Summit

Why: Answer quality checks

DataHub: Detects context drift and routes it to experts; DataHub cites nearly 2X agent accuracy at Miro.

Source: DataHub Cloud context platform

Euno: Context Calibration generates benchmark questions, checks agent answers and suggests missing rules and glossary terms.

Source: Euno blog: AlphaSense x Euno at dbt Summit

Why: Integration breadth

DataHub: 100+ pre-built connectors, plus an open-source project used by more than 3,000 organizations.

Source: DataHub Cloud context platform

Euno: Plans cap integrations at 3, 5 or 10; the full source list could not be read.

Source: Euno pricing

Why: Pricing transparency

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.

Source: AWS Marketplace: DataHub Cloud listing

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

DataHub: Open source from a single node to hybrid and decentralized setups, or managed SaaS.

Source: DataHub Series B announcement

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?

DataHub: documents 5 of 5 stages

DataHub context path: documents 5 of 5 stages.1Warehouse and lakehouse2Transformation (dbt, ETL)3BI and semantic logic4Governance and access rules5Delivery to agents (MCP or API)

Euno: documents 5 of 5 stages

Euno context path: documents 5 of 5 stages.1Warehouse and lakehouse2Transformation (dbt, ETL)3BI and semantic logic4Governance and access rules5Delivery to agents (MCP or API)

How do pricing and deployment compare?

DataHubEuno
TypeContext platform (open-source core)AI context platform
Agent interfaceMCP, Agent Context Kit, Skills, APIs and SDKs, Ask DataHubMCP server, Context API, Euno Assistant
LineageLineage and impact analysis built from query logs, dbt projects and BI dashboardsColumn level, from sources through BI dashboards to AI agents
DeploymentOpen 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.
PricingDataHub 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.

Source: AWS Marketplace: DataHub Cloud listing

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$75,000 for 12 months (AWS Marketplace, up to 20 monthly active users)Not published

Which should you choose?

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

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, DataHub or Euno?

On our default weights DataHub scores 8.02 and Euno scores 7.64. The better fit depends on which criteria matter most to you; the weight-your-own page lets you change the weights.

Which costs less, DataHub or Euno?

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. 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 DataHub 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.

Where next?