
At 4.5/5 stars, this enterprise-priced platform justifies its cost with automated column-level lineage and deep dbt integration.
Atlan works well when teams need to automatically parse column-level lineage from SQL queries and sync metadata with dbt. The friction starts when loading assets with extensive lineage, which can cause performance degradation, or when navigating the steep learning curve of complex configurations. Before buying, compare vs DataHub: an open-source alternative that offers a developer-centric deployment model without the enterprise-level custom pricing.
Oleh KemFounder & Lead AnalystConnect Atlan to dbt Cloud to auto-map column-level lineage across 500+ models without manual documentation
Enable 100 analysts to find and understand datasets in seconds with search, tags, and quality scores replacing Confluence wiki pages
Define quality rules in Atlan and receive Slack alerts when freshness or null rate thresholds breach for critical tables
Assign data owners and certify 200 critical datasets as 'trusted' so analysts know which tables are production-grade
Best for: This plan is suitable for evaluating Atlan's core features
Best for: Ideal for small teams beginning their data governance journey
Best for: Designed for growing organizations needing advanced features and broader integration
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Prices last verified Jun 6, 2026
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Highly rated data observability software built for dbt-centric, modern data stack teams who need focused workflows.
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