Custom quote Acceldata
Observability
Enterprise data observability for quality checks, reconciliation, pipeline investigation, and compute cost monitoring.
Observability and quality
Catches bad data before the dashboard does: freshness, volume, schema and distribution checks.
Loading tools…
Custom quote 
Custom quote Datafold
CI/diffing
Data comparison and engineering automation platform for pre-merge validation, database migrations, and ongoing data quality checks.
Free OSS / Cloud quote Elementary
dbt-native
Data observability for dbt teams, with free self-hosted OSS and a Cloud platform for warehouse monitoring, column-level lineage, incident response, and AI assistance.
Free open source Great Expectations (GX)
Quality framework
Open-source Python data validation framework for reusable quality checks, detailed failure results, and pipeline validation. GX Cloud is discontinued.
Free; Team $750/mo + usage Soda
Quality framework
Data quality software combining explicit data contracts, pipeline verification, and anomaly monitoring, with cloud collaboration and AI assistance.
Anomalo
Observability
ML data quality monitoring that checks the values inside warehouse tables, with no-code rules and root cause analysis.
Sifflet
Observability
Data observability with a built-in catalog: 22 monitor templates, field-level lineage into BI tools, monitors as code and the Sentinel agent.
Metaplane
Observability
Data observability for warehouse teams: ML monitors, schema alerts, column lineage and dbt CI previews, with a free plan for 10 tables.
Custom quote Bigeye
Observability
Data observability platform combining quality monitoring, lineage, incident investigation, and AI assistance for enterprise data teams.
Quote only Monte Carlo
Observability
The category-defining data observability platform, now agent-focused: automatic monitors, lineage, incident management; credit-based, sales-quoted pricing.