Overview
Soda provides data quality testing with a simple YAML-based syntax (SodaCL). It bridges the gap between code-heavy Great Expectations and no-code tools like Monte Carlo. Soda Core is open-source; Soda Cloud adds collaboration, monitoring, and anomaly detection.
Key Features
- ✓ SodaCL: Simple YAML syntax for data checks
- ✓ Soda Core: Open-source scanning engine
- ✓ Anomaly Detection: ML-powered in Soda Cloud
- ✓ Incident Management: Alert and triage issues
- ✓ dbt Integration: Run checks alongside dbt
- ✓ Contracts: Data contracts for APIs
Pros
- 👍 Simple, readable syntax (SodaCL)
- 👍 Good balance of code and config
- 👍 Open-source core
- 👍 Strong dbt integration
- 👍 Anomaly detection in Cloud tier
Cons
- 👎 Cloud features require paid tier
- 👎 Smaller ecosystem than GX
- 👎 ML features need data volume
- 👎 Documentation could be better
Best For
Teams who find Great Expectations too complex but need more than dbt tests. Good middle ground for data quality.
Founded: 2020 HQ: Brussels, Belgium