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Best Data Catalogs mark: an unfinished lineage pathBest Data Catalogs

Head to head

Atlan vs AtScale for AI agents

Short answer

On our default weights Atlan scores 7.25 and AtScale scores 5.87. Atlan scores higher on Lineage, Automation, Answer checks and Integrations; AtScale scores higher on Semantics, Pricing and Deployment. They tie on Agent access and Governance.

By The Lineage Desk · Best Data Catalogs · Published

Desk research from public vendor pages. Editorial assessment.

Atlan rank 3 of 9

7.25 / 10

AtScale rank 6 of 9

5.87 / 10

How do Atlan and AtScale compare on each criterion?

CriterionWeightAtlanAtScaleHigher score
Agent access to context15%99Tie
Cross-stack lineage13%72Atlan
Automated context build13%94Atlan
Governance agents can use13%88Tie
Business definitions and metrics12%79AtScale
Answer quality checks8%75Atlan
Integration breadth10%95Atlan
Pricing transparency8%24AtScale
Deployment options8%45AtScale
Why: Agent access to context

Atlan: Serves context through SQL, APIs, an SDK and the Atlan MCP server.

Source: Atlan homepage

AtScale: An MCP server with named tools gives agents certified metrics by name; seven agent clients are named.

Source: AtScale: semantic context for AI via MCP

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

AtScale: A semantic layer, not a catalog; cross-stack lineage is not described.

Source: AtScale homepage

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

AtScale: Describes a 30-day workshop from kickoff to results; automated discovery is not described.

Source: AtScale: semantic context for AI via MCP

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

AtScale: Per-agent OAuth identity, row- and column-level security and a log of every call.

Source: AtScale: semantic context for AI via MCP

Why: Business definitions and metrics

Atlan: Metrics Generator, Semantic Views and Ontology Generator create business definitions from metadata.

Source: Atlan homepage

AtScale: A universal semantic layer serving certified metrics to BI and agents.

Source: AtScale homepage

Why: Answer quality checks

Atlan: Lists evals and traces when activating context for agents, without detail on how answers are checked.

Source: Atlan homepage

AtScale: Every call is logged, and AtScale cites a preliminary result of twice the accuracy on BIRD-Interact.

Source: AtScale: semantic context for AI via MCP

Why: Integration breadth

Atlan: Lists 110 connectors and an open-source App SDK for custom ones.

Source: Atlan connectors

AtScale: Agent clients are listed, but no data source count was read.

Source: AtScale: semantic context for AI via MCP

Why: Pricing transparency

Atlan: Pricing page leads to a sales form; no prices or tiers.

Source: Atlan pricing

AtScale: The pricing model is published (deployed semantic objects, no per-seat or per-query fees) but no prices.

Source: AtScale pricing

Why: Deployment options

Atlan: SaaS; a self-hosted option is not stated.

Source: Atlan homepage

AtScale: Queries compute inside your data platform; hosting options are not stated.

Source: AtScale: semantic context for AI via MCP

Which hops from warehouse to agent does each document?

Atlan: documents 5 of 5 stages

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

AtScale: documents 4 of 5 stages

AtScale context path: documents 4 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?

AtlanAtScale
TypeContext layer (metadata platform)Universal semantic layer
Agent interfaceAtlan MCP server, SQL, APIs, SDKAtScale MCP server (list_models, explore_columns, focus_columns, get_sml_skills, run_query, get_outbound_queries); AtScale Ava for chat users
LineageRelationship-level lineage in the data graph; column level not stated on the connectors pageNot described (a semantic layer, not a catalog)
DeploymentSaaS; Atlan states it never queries the rows in your tables. A self-hosted option is not stated.Queries compute inside your data platform; hosting options are not stated on the pages we read.
PricingNot published The pricing page leads to a Talk to Sales form.

Source: Atlan pricing

Not published Consumption pricing by deployed semantic objects, in Standard and Enterprise editions, with no per-seat or per-query fees. No prices are published.

Source: AtScale pricing

Entry priceNot publishedNot 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 AtScale if

  • you need many ways for agents to reach context
  • consistent metric definitions are the main gap
  • Enterprises that need certified metrics served to many agent clients under per-agent security

Frequently asked questions

Which is better for AI agents, Atlan or AtScale?

On our default weights Atlan scores 7.25 and AtScale scores 5.87. 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 AtScale?

Atlan: no prices published. AtScale: no prices published. We do not compare total cost because most of these prices are not published.

Can Atlan and AtScale be used together?

They cover different layers (Context platform and Semantic layer), so they can sit side by side. The pages we read do not describe a direct integration between them.

Where next?