Amazon Managed Workflows for Apache Airflow streamlines the deployment and management of data pipelines using Apache Airflow on AWS, providing a scalable and secure environment for workflow orchestration.
| Product | Mindshare (%) |
|---|---|
| Amazon Managed Workflows for Apache Airflow | 1.8% |
| Control-M | 13.8% |
| AutoSys Workload Automation | 7.7% |
| Other | 76.7% |
It allows users to easily create and monitor their workflows, leveraging seamless integrations with AWS services and ensuring compliance with security and operational best practices. The service handles the underlying infrastructure, freeing users from tasks like provisioning and scaling, while also offering enterprise-grade capabilities, such as the ability to manage sensitive data with robust security features.
What features make Amazon Managed Workflows for Apache Airflow valuable?Amazon Managed Workflows for Apache Airflow is widely implemented across industries such as e-commerce, finance, and healthcare, where complex data pipelines are essential for operational decision-making and analytics. Companies benefit from its ability to manage large volumes of data efficiently and integrate with diverse data sources, enhancing their analytical capabilities.
| Author info | Rating | Review Summary |
|---|---|---|
| Business and Technology Strategy Lead at Cognix Inc | 3.5 | I've used Amazon Managed Workflows for Apache Airflow for internal operational workflows and find it scalable, cost-effective, and stable, though AWS support is expensive. It's easier to set up than Control-M and helps reduce OPEX costs. |
| Solutions Architect at a financial services firm with 501-1,000 employees | 3.0 | We face challenges transitioning from a graphical user interface like Control M to a code-based approach with Amazon Managed Workflows for Apache Airflow, lacking a UI for scheduling, complicating ad-hoc job additions without developer support. We chose it for AWS management. |
