Apache Beam vs Amazon Managed Workflows for Apache Airflow
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Detailed Comparison
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments. | 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. |
| - | Deploy Airflow rapidly at scale; Run Airflow with built-in security; Reduce operational costs; Use a pre-existing plugin or use your own |
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What are some alternatives to Apache Beam, Amazon Managed Workflows for Apache Airflow?
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