Soda provides data quality monitoring with natural language check definitions and automated anomaly detection. Soda Core (open-source, Apache 2.0) enables local data quality checks. Soda Cloud offers Free tier (3 datasets, 10 checks), Plus at $100/month, and Enterprise pricing. SodaCL (Soda Checks Language) enables defining checks in human-readable YAML: “row_count > 0”, “invalid_percent(email) < 5%”, “anomaly score < default”. AI-powered anomaly detection learns normal data patterns and alerts on deviations without manual threshold setting. The Agreements feature enables data producers to define SLAs that consumers can monitor. Integrates with Airflow, dbt, Spark, and major orchestrators. Supports Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, and 20+ databases. The no-code incident management in Cloud enables business users to track data quality issues. Page should cover: SodaCL language tutorial, anomaly detection capabilities, Soda Core vs Cloud comparison, integration with data pipelines, comparison with Great Expectations, pricing tier analysis, and use cases for data quality monitoring.
Soda
Soda provides data quality monitoring with natural language check definitions and automated anomaly detection. Soda Core (open-source, Apache 2.0) enables local data quality checks.
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Data Quality Free tier (3 datasets, 10 checks), Plus at $100/month, and Enterprise pricing.
Soda data quality monitoring SodaCL Soda Cloud data observability