Amazon Managed Workflows for Apache Airflow vs Unito
Overview
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Detailed Comparison
Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes. | 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. |
Deep integrations between tools; Syncing that truly goes both ways; Design your dream workflows; Report and align on projects | 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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Stacks 15 | Stacks 21 |
Followers 31 | Followers 13 |
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Pros & Cons | |
Pros
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Integrations | |
What are some alternatives to Unito, Amazon Managed Workflows for Apache Airflow?
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