AWS Glue Data Quality: Free anomaly detection, improved predictions
AWS Glue Data Quality introduces a new observation mode for anomaly detection, reducing false positives and improving accuracy by using a constant baseline. This mode is beneficial for exploratory workflows and datasets with irregular patterns. Furthermore, anomaly detection for AWS Glue ETL jobs is now free, allowing continuous monitoring across all pipelines. These enhancements are available in all commercial and GovCloud regions.
- →Anomaly detection for ETL jobs now free
- →Improved anomaly detection observation mode
- →Availability and getting started
Features (1) ›
- Anomaly detection for ETL jobs now free
Anomaly detection for AWS Glue ETL jobs is now available at no additional cost. This allows users to monitor data quality anomalies across all Glue pipelines without worrying about pricing.
Enhancements (1) ›
- Improved anomaly detection observation mode
A new observation mode reduces false positive anomaly detections and improves prediction accuracy by using a constant baseline instead of a linear trend. This is particularly useful for exploratory data analysis, datasets with flat or random patterns, and interactive environments like notebooks.
Notes (1) ›
- Availability and getting started
These improvements are available in all AWS commercial regions and AWS GovCloud (US) regions. Users can visit the AWS Glue Data Quality documentation to get started.
https://aws.amazon.com/about-aws/whats-new/2026/08/aws-glue-data-quality-anomaly-detection-free
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