SageMaker Studio Integrates with Amazon Managed Workflows for Apache Airflow
Amazon SageMaker Unified Studio now allows users to connect existing Amazon Managed Workflows for Apache Airflow (MWAA) environments directly within Studio projects. This integration enables data engineers and platform teams to manage Airflow workflows alongside their ML and analytics tasks, avoiding costly reconfigurations. The feature is available in all SageMaker Studio regions and offers a visual authoring experience for Airflow 3+ environments.
- →Connect existing MWAA environments to SageMaker Studio projects
- →Visual authoring for new workflows in MWAA Airflow 3+
- →Availability and setup details
Features (1) ›
- Connect existing MWAA environments to SageMaker Studio projects
SageMaker Unified Studio now supports connecting to existing Amazon Managed Workflows for Apache Airflow (MWAA) environments from within Studio projects. This allows users to manage Airflow workflows from the same interface used for analytics and machine learning without recreating configurations or migrating DAGs.
Enhancements (1) ›
- Visual authoring for new workflows in MWAA Airflow 3+
Environments running Apache Airflow 3 or later will gain access to a visual authoring experience for creating new workflows using a drag-and-drop editor, directly within SageMaker Unified Studio.
Notes (1) ›
- Availability and setup details
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is offered. Connecting an environment involves using the Workflows tool in a Studio project and providing Airflow configuration options that reference your domain and project.
https://aws.amazon.com/about-aws/whats-new/2026/07/amazon-sagemaker-unified-studio-import-existing-mwaa-environments/