Data Freshness Monitoring

via “data freshness monitoring with timestamp-based checks”

Data quality checks with human-readable SodaCL language.

Unique: Implements freshness checks as a specialized metric type that extracts and evaluates timestamp columns, enabling simple SLA-based freshness monitoring without requiring external timestamp tracking systems or pipeline orchestration metadata

vs others: Simpler than orchestration-based freshness checks (like dbt freshness tests) because it doesn't require pipeline metadata; more reliable than query-based checks because it directly queries the data source rather than relying on external state