Amazon Deequ
6.7#2 in data quality testing toolsFree planFree planAPILinuxmacOSSelf-hosted
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Deequ suits developers and data teams who want to check data quality in Spark-based pipelines before datasets reach consuming systems or machine-learning algorithms. It is intended for users comfortable working with Spark and its supported release versions.
Great Expectations suits data teams that need repeatable validation across databases, warehouses, files, or Python workflows. GX Cloud is designed for technical and nontechnical stakeholders, while GX Core fits teams building programmatic workflows.