Data Governance. Atlan

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Catalog & discovery · Active metadata

Atlan

Active metadata and context layer for AI

Verified: 2026-07-01

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Best for

  • modern data stack (dbt, Snowflake, Fivetran)
  • AI governance and active metadata
  • data marketplace and integrations

Strengths

  • Modern metadata management approach
  • Context layer for AI - policies, PII, certification
  • Integrations with security and access governance tools

Weaknesses

  • May be too advanced for small organizations
  • Requires a mature data stack
  • Verify real lineage scope for your stack

When to choose

  • Stack is built on Snowflake and dbt (modern data stack)
  • You develop AI and agents on company data
  • You need active metadata, not just a static catalog

When to avoid

  • Company is just starting with Excel BI
  • Budget and team cannot support a metadata platform
  • Stack is 100% in one hyperscaler with native catalog

Pricing (indicative)

SaaS - roughly EUR 20-90k/year depending on scale; vendor quote.

Features

  • Yes - Data catalog
  • Yes - Business glossary
  • Yes - Lineage
  • Yes - Data quality
  • Yes - Data classification
  • Yes - Access governance
  • Yes - Workflow / stewardship
  • Yes - AI context layer

Integrations

Snowflake, dbt, Databricks, BigQuery, Fivetran

Sources and methodology

Comparison ← DG platform catalog

Informational content only. Verify pricing and feature scope with vendors before purchase.