Apr 12, 2020
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RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received. | tl;dr: If you run a Redis server and currently use Amazon SQS or a similar message queue you might as well use this fast little replacement. Using a shared Redis server multiple Node.js processes can send / receive messages. | The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity. |
Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported | Lightweight: Just Redis and ~500 lines of javascript.;Guaranteed delivery of a message to exactly one recipient within a messages visibility timeout.;Received messages that are not deleted will reappear after the visibility timeout.;Test coverage;Optional RESTful interface via rest-rsmq | Minimal CPU usage due to a polling-free design.; Robust design based on Redis.; Delayed jobs.; Schedule and repeat jobs according to a cron specification.; Rate limiter for jobs.; Retries.; Priority.; Concurrency.; Pause/resume—globally or locally.; Multiple job types per queue.; Threaded (sandboxed) processing functions.; Automatic recovery from process crashes. |
Statistics | ||
GitHub Stars 13.2K | GitHub Stars 1.8K | GitHub Stars 16.2K |
GitHub Forks 4.0K | GitHub Forks 120 | GitHub Forks 1.4K |
Stacks 21.8K | Stacks 4 | Stacks 92 |
Followers 18.9K | Followers 87 | Followers 113 |
Votes 558 | Votes 6 | Votes 1 |
Pros & Cons | ||
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Integrations | ||
| No integrations available | ||

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.

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.

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

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Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

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An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.