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Amazon SWF
Amazon SWF

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Celery
Celery

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Amazon SWF vs Celery: What are the differences?

Developers describe Amazon SWF as "Automate the coordination, auditing, and scaling of applications across multiple machines". Amazon Simple Workflow allows you to structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state. On the other hand, Celery is detailed as "Distributed task queue". Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SWF can be classified as a tool in the "Cloud Task Management" category, while Celery is grouped under "Message Queue".

Celery is an open source tool with 12.9K GitHub stars and 3.33K GitHub forks. Here's a link to Celery's open source repository on GitHub.

Udemy, Sentry, and Postmates are some of the popular companies that use Celery, whereas Amazon SWF is used by Lookout, NASA Jet Propulsion Laboratory, and Better. Celery has a broader approval, being mentioned in 272 company stacks & 77 developers stacks; compared to Amazon SWF, which is listed in 11 company stacks and 3 developer stacks.

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What is Amazon SWF?

Amazon Simple Workflow allows you to structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state.

What is Celery?

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
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      What tools integrate with Amazon SWF?
      What tools integrate with Celery?
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        What are some alternatives to Amazon SWF and Celery?
        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.
        AWS Step Functions
        AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
        Google Keep
        It is a note-taking service developed by Google. It is available on the web, and has mobile apps for the Android and iOS mobile operating systems. Keep offers a variety of tools for taking notes, including text, lists, images, and audio.
        Taskworld
        It is designed to facilitate project and task management, collaboration, delegation, communication, knowledge management, measure progress and provide performance metrics for evidence-based evaluations within teams.
        Workfront
        It allows user to manage projects in one place. It helps marketing, IT, & enterprise teams conquer chaos by improving productivity, collaboration, and visibility.
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        Decisions about Amazon SWF and Celery
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        How developers use Amazon SWF and Celery
        Avatar of Kalibrr
        Kalibrr uses CeleryCelery

        All of our background jobs (e.g., image resizing, file uploading, email and SMS sending) are done through Celery (using Redis as its broker). Celery's scheduling and retrying features are especially useful for error-prone tasks, such as email and SMS sending.

        Avatar of Cloudify
        Cloudify uses CeleryCelery

        For orchestrating the creation of the correct number of instances, managing errors and retries, and finally managing the deallocation of resources we use RabbitMQ in conjunction with the Celery Project framework, along with a self-developed workflow engine.

        Avatar of MOKA Analytics
        MOKA Analytics uses CeleryCelery

        We maintain a fork of Celery 3 that adds HTTPS support for Redis brokers. The Winning Model currently uses Celery 3 because Celery 4 dropped support for Windows.

        We plan on migrating to Celery 4 once Azure ASE supports Linux apps

        Avatar of Yaakov Gesher
        Yaakov Gesher uses CeleryCelery

        We used celery, in combination with RabbitMQ and celery-beat, to run periodic tasks, as well as some user-initiated long-running tasks on the server.

        Avatar of Dieter Adriaenssens
        Dieter Adriaenssens uses CeleryCelery

        Using Celery, the web service creates tasks that are executed by a background worker. Celery uses a RabbitMQ instance as a task queue.

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