Less firefighting, more building
Automatically detect when data stops loading, schema changes, or new categories emerge.
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Why Data Engineers choose Soda
Find, understand and fix data quality issues before they break your pipelines.
Smarter and faster data observability
Metrics Observability continuously tracks key dataset and metadata metrics. From record counts and update frequency to schema changes. It automatically detects deviations that traditional monitoring tools miss.
Its high-precision anomaly detection algorithm adapts to each dataset’s natural behavior, learning what “normal” looks like over time. This means fewer false positives, faster detection of real issues, and more confidence that your pipelines are performing exactly as expected.
Prevent breaking changes with quality contracts
Data Contracts act as safeguards between pipeline stages, verifying that schema changes, data completeness, freshness requirements or standard data quality checks stay intact as data moves downstream.
When upstream teams modify formats or transformations evolve, contracts validate dependencies in real time, whether scheduled or triggered through CI/CD pipelines and pull requests.
Integrated directly with Git, engineers can propose, review, and approve data quality changes in their workflow, ensuring reliability by design without slowing development.
