is an open-source data quality and observability tool. Our teams have used it to validate data as it arrives in a system, before and after transformations, and set up automated monitoring checks for anomalies. We're happy with , the DSL for writing data checks in Soda Core, as it helps team members other than data engineers write quality checks. Overall, our experience using Soda Core to find and resolve data issues at scale has been positive.
is an open-source data quality and observability tool. We talked about Great Expectations previously in the Radar, and Soda Core is an alternative with a key difference ¡ª you express the data validations in a DSL called (previously called ) as opposed to Python functions. Once the validations are written, it can be executed as part of a or . As we become increasingly data-driven, it's critical to maintain data quality, and we encourage you to assess Soda Core.
