Airflow vs Celery: What are the differences?
Airflow: A platform to programmaticaly author, schedule and monitor data pipelines, by Airbnb. 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; Celery: 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.
Airflow and Celery are primarily classified as "Workflow Manager" and "Message Queue" tools respectively.
Airflow and Celery are both open source tools. Airflow with 12.9K GitHub stars and 4.71K forks on GitHub appears to be more popular than Celery with 12.9K GitHub stars and 3.33K GitHub forks.
Udemy, Sentry, and Postmates are some of the popular companies that use Celery, whereas Airflow is used by Airbnb, Slack, and 9GAG. Celery has a broader approval, being mentioned in 272 company stacks & 77 developers stacks; compared to Airflow, which is listed in 72 company stacks and 33 developer stacks.
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