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TL;DR - Atlan
- Data workspace platform
- Catalog and lineage
- Governance unification
Pricing: Paid only
Best for: Enterprises & pros
Score: 92/100
Pros & Cons
Pros
- Modern cloud-native architecture
- Intuitive UI with fast implementation
- Automated column-level lineage
- Strong integration with modern data stack (dbt, Snowflake, etc.)
- Gartner Magic Quadrant Leader 2026
- Lower TCO than legacy catalogs
- Embedded collaboration (Slack-like)
- Auto PII detection and governance
Cons
- Custom pricing lacks transparency
- Younger product than Alation/Collibra
- May lack some enterprise governance features
- Premium pricing for smaller teams
Key Features
Data workspaceActive metadataData catalogCollaborationGovernanceIntegration hub
Pricing Plans
Free TrialEnterprise
Custom
- Modern data catalog
- Data lineage
- Governance tools
- Metadata management
- Collaboration features
- API access
- Custom integrations
- Starts around $198K/year for enterprise
About Atlan
By Toolradar Team·
Atlan is a modern, cloud-native data workspace and active metadata platform that helps data teams discover, understand, and collaborate on data assets. Named a Leader in Gartners 2026 Magic Quadrant for Data & Analytics Governance, Atlan offers automated lineage, data quality monitoring, and embedded collaboration features designed for modern data stacks.
How we evaluate tools →Source: atlan.com
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Atlan FAQ
How does Atlan compare to Alation?
Atlan is cloud-native with a modern UX and faster implementation, while Alation is more established with deeper enterprise governance. Atlan often has lower TCO and is popular with modern data stack users. Alation is preferred by traditional enterprises with complex compliance needs.
What is active metadata?
Active metadata means Atlans platform doesnt just store metadata passively - it actively uses metadata to power automation, lineage tracking, and governance. Metadata flows bidirectionally between Atlan and your data tools.
Does Atlan integrate with dbt?
Yes, Atlan has deep dbt integration including automatic lineage from dbt models, syncing of dbt documentation, and propagation of metadata between dbt and your data warehouse.
Source: atlan.com