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Soda provides robust features for data analysis to gain insights into data patterns and facilitate their visualization. This solution is frequently used in data science projects.
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Usable application software: supports people in a task.
Concrete cog in the system that works inside larger relationships.
Soda is a platform for data-quality tests that lets teams define, run, and collaborate on data checks.
Soda grew from the DataOps need to test data quality as an automatable part of data pipelines. Its open Soda Checks Language expresses those expectations as executable rules.
A check is a contract about expected data quality. Soda runs it against a data source, reports deviations, and turns them into a shared starting point for data and domain teams.
Measurable properties such as completeness and freshness.
An automated, collaborative way to operate data pipelines.
Executable rules for expected data states.
Soda brings data-quality tests closer to the pipeline and speeds up diagnosis; their value depends on well-chosen expectations and domain knowledge.
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