Alation 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?”
Make 10,000+ tables discoverable for 500 analysts using behavioral rankings that surface trusted datasets from actual query patterns
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.
Assign stewards, run certification workflows, and document regulatory evidence for 200 critical data assets supporting GDPR compliance
Bigeye's data SLA feature tracks freshness and completeness against defined business SLAs, giving data teams a measurable reliability metric to report to stakeholders.
Identify tables marked for deprecation that are still queried daily, proactively notifying users before migrations break their reports
Catalog and reconcile data assets from acquired companies into the parent organization's data governance program
Bigeye runs alongside existing dbt tests, adding statistical distribution monitoring that catches subtle data drift that row-count and null-check tests miss.
14 differences found across 23 standardized features
Evaluative strengths and weaknesses: not feature lists