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Open-source Python library and CLI for testing and monitoring data quality using checks as code.
DESCRIPTION
Soda Core enables teams to define data quality checks in code and run them in pipelines or CI. It integrates with data warehouses and lakes, executing validations and producing metrics for observability. Checks are described using SodaCL or Python, supporting threshold-based rules and anomaly detection. Results support alerting and governance workflows. Soda Core complements dbt tests and orchestration tools, helping maintain trustworthy analytics datasets.
ALTERNATIVE DEFINITIONS
Soda
Soda Core is an open-source Python library and CLI that enables you to define and execute data quality checks on datasets.
Combines library and CLI for code-defined checks across datasets.
Soda Data
Soda Core is a CLI tool and Python library for testing data quality with checks written in SodaCL or Python.
Highlights SodaCL syntax and testing focus.
RELATED TERMS
Data Quality SodaCL Data Observability dbt Tests Apache Airflow Data Profiling Monitoring
COMPETING TERMS
Great Expectations Amazon Deequ
KNOWLEDGE AREAS
Data Quality Data Engineering Platform & Tooling Observability & Telemetry Testing & Validation
TARGET AUDIENCE
Data Engineer Analytics Engineer Data Steward Data Architect MLOps Engineer
EXTERNAL SOURCES
- Wikipedia - Data quality
- Soda - Official Soda Core overview
- Soda Data - Open-source repository
- dbt Labs - dbt tests context
TOP QUESTIONS
Why use Soda Core for data quality?
It offers code-based checks, integrations, and observability to maintain trustworthy datasets in pipelines and CI.
Category: Relevancy
How does Soda Core integrate with warehouses?
It connects to platforms like Snowflake or BigQuery and runs checks directly on tables and views.
Category: Integration
What is SodaCL?
A domain-specific language to declare data quality checks and thresholds in human-readable YAML.
Category: Definition
How to automate Soda Core checks?
Integrate with Airflow/Prefect or CI pipelines to run checks on schedule or on change.
Category: How-To
What metrics can Soda Core collect?
Row counts, null rates, distinct counts, distributions, and rule violations for alerts.
Category: Overview
How does Soda Core compare to Great Expectations?
Both enable code-based validations; Soda emphasizes SodaCL and observability integrations, while GE focuses on expectations suites.
Category: Alternatives
What are common mistakes with Soda Core?
Overly broad checks without thresholds or poor environment configuration can create noisy alerts.
Category: Mistakes
Who should own Soda Core configurations?
Data engineers and stewards should co-own checks aligned with business SLAs and data contracts.
Category: Management
Can Soda Core run in CI?
Yes, to gate deployments based on data quality health checks and thresholds.
Category: Application