Description
Task queues are used as a mechanism to distribute work across threads or machines.
A task queue's input is a unit of work, called a task, dedicated worker processes then constantly monitor the queue for new work to perform.
Celery communicates via messages, usually using a broker to mediate between clients and workers. To initiate a task a client puts a message on the queue, the broker then delivers the message to a worker.
A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling.
Celery is written in Python, but the protocol can be implemented in any language. In addition to Python there's node-celery for Node.js, and a PHP client.
Language interoperability can also be achieved by using webhooks.
Celery alternatives and similar tools
Based on the "Queuing" category.
Alternatively, view celery alternatives based on common mentions on social networks and blogs.
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Resque
Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. -
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HornetQ
HornetQ is an open source project to build a multi-protocol, embeddable, very high performance, clustered, asynchronous messaging system. -
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The Apollo Project
DISCONTINUED. ActiveMQ Apollo is a faster, more reliable, easier to maintain messaging broker built from the foundations of the original ActiveMQ. -
SaaSHub - Software Alternatives and Reviews
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