AWS Glue Data Quality Now Supports Anomaly Detection and Writing Results to the AWS Glue Data Catalog
AWS, Monday, July 27th, 2026
Glue Data Quality adds anomaly detection for catalog-based evaluations and can write results back to catalog tables.
AWS Glue Data Quality now supports anomaly detection for Catalog-based data quality evaluations and can write evaluation results into AWS Glue Data Catalog tables. Both capabilities work across ETL jobs and Catalog evaluations, giving a consistent experience regardless of which workflow produced the data.
Anomaly detection flags statistical deviations without requiring analysts to hand-author every rule. Writing results to the catalog makes quality history queryable with the same tools used for the data itself. The combination supports trend analysis rather than point-in-time pass or fail.