Side-by-side comparison

Data quality checks written in a YAML-based language (SodaCL) that run against many data sources.

Python framework for declaring data quality tests (Expectations) and validating pipelines; now under Fivetran.

Schema and statistical validation for pandas, Polars and PySpark DataFrames.

dbt-native data observability for anomaly detection, test results and lineage.