Couler vs Amazon Managed Workflows for Apache Airflow
Overview
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Detailed Comparison
It aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. | 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. |
Unified interface and imperative programming style for defining workflows with automatic construction of directed acyclic graph (DAG);
Extensible to support various workflow engines;
Reusable steps for tasks such as distributed training of machine learning models;
Automatic workflow and resource optimizations under the hood | 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 943 | GitHub Stars - |
GitHub Forks 88 | GitHub Forks - |
Stacks 0 | Stacks 21 |
Followers 2 | Followers 13 |
Votes 0 | Votes 0 |
Integrations | |
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Unito
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Shipyard
na
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