iLeap vs Amazon Managed Workflows for Apache Airflow
Overview
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Detailed Comparison
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. | ILeap is a low-code app development platform to build custom apps and automate workflows visually, helping you speed up digital transformation. |
Deploy Airflow rapidly at scale; Run Airflow with built-in security; Reduce operational costs; Use a pre-existing plugin or use your own | Low Code Platform |
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What are some alternatives to Amazon Managed Workflows for Apache Airflow, iLeap?
Blazor
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Stamplay
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Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
GitHub Actions
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Apache Beam
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
Kumologica
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Zenaton
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Luigi
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Backand
Backand is a powerful backend-as-a-service for AngularJS that provides out-of-the-box social login, push notifications, Ionic integration and much more.
Unito
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.
