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Amazon MWAA Adds Support for Apache Airflow 3.2

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feature patch

Amazon MWAA now supports Apache Airflow 3.2, offering new data-aware scheduling and developer productivity enhancements for data pipelines on AWS. This update allows for more precise pipeline control through asset partitioning and improves human-in-the-loop capabilities with enhanced audit history. The new version is available for new environments and upgrades from Airflow 2.11+ via the AWS Management Console.

  • →Support for Apache Airflow 3.2
  • →Data-Aware Scheduling and Asset Partitioning
  • →Improved Human-in-the-Loop (HITL) Capabilities
  • →Performance and UI Improvements
  • →Availability and Upgrade Information
Features (1) ›
  • Support for Apache Airflow 3.2

    Amazon MWAA now supports Apache Airflow version 3.2, enabling users to leverage the latest features of the open-source workflow orchestration framework.

Enhancements (3) ›
  • Data-Aware Scheduling and Asset Partitioning

    The release introduces data-aware scheduling, allowing DAGs to be triggered based on specific data slices like date-partitioned S3 paths, providing more precise control over pipeline execution for data engineering teams.

  • Improved Human-in-the-Loop (HITL) Capabilities

    HITL support is expanded with a full audit history view for approvals, HITL support for the AgenticOperator, and synchronous callback support for Deadline Alerts.

  • Performance and UI Improvements

    Enhancements include Grid View virtualization for faster rendering of large DAGs and full XCom management directly from the Airflow UI. Async callable support is also added to the PythonOperator.

Notes (1) ›
  • Availability and Upgrade Information

    Apache Airflow 3.2 environments can be launched on Amazon MWAA or upgraded from version 2.11 or later through the AWS Management Console in all supported regions.

Read the original announcement →

https://aws.amazon.com/about-aws/whats-new/2026/04/amazon-mwaa-now-supports-apache-airflow-3-2/

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