Digdag vs Amazon Managed Workflows for Apache Airflow
Overview
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Detailed Comparison
It is a simple tool that helps you to build, run, schedule, and monitor complex pipelines of tasks. It handles dependency resolution so that tasks run in series or in parallel. | It is a managed orchestration service for Apache Airflow1 that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workflows automatically scales its workflow execution capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data. |
Multi-Cloud;Multi-lingual;Error handling; Modular;
Extensible;Admin UI | Deploy Airflow rapidly at scale; Run Airflow with built-in security; Reduce operational costs; Use a pre-existing plugin or use your own |
Statistics | |
GitHub Stars 1.3K | GitHub Stars - |
GitHub Forks 230 | GitHub Forks - |
Stacks 17 | Stacks 21 |
Followers 22 | Followers 13 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Digdag, Amazon Managed Workflows for Apache Airflow?
Airflow
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Luigi
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Unito
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na
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Flumio
Flumio is a modern automation platform that lets you build powerful workflows with a simple drag-and-drop interface. It combines the power of custom development with the speed of a no-code/low-code tool. Developers can still embed custom logic directly into workflows.
