Atlan and Bigeye are both Data Observability tools. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Connect Atlan to dbt Cloud to auto-map column-level lineage across 500+ models without manual documentation
Bigeye runs alongside existing dbt tests, adding statistical distribution monitoring that catches subtle data drift that row-count and null-check tests miss.
Enable 100 analysts to find and understand datasets in seconds with search, tags, and quality scores replacing Confluence wiki pages
Bigeye's auto-threshold engine analyzes historical column distributions to set anomaly bounds, eliminating the need to hand-tune expected ranges for hundreds of columns.
Define quality rules in Atlan and receive Slack alerts when freshness or null rate thresholds breach for critical tables
Bigeye's data SLA feature tracks freshness and completeness against defined business SLAs, giving data teams a measurable reliability metric to report to stakeholders.
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
Best for: large enterprises requiring comprehensive data observability, security, and compliance
17 differences found across 23 standardized features
Evaluative strengths and weaknesses: not feature lists
Atlan updated "Free" from Custom to $0/mo
Price change · Jun 6, 2026
Atlan added a new "Free" plan (Custom pricing)
Plan added · May 28, 2026
Atlan added a new "Premier" plan (Custom pricing)
Plan added · May 28, 2026
Atlan removed the "Business" plan
Plan removed · May 28, 2026