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Mosquitto vs RabbitMQ: What are the differences?

What is Mosquitto? An open source message broker that implements the MQTT protocol. It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

What is RabbitMQ? A messaging broker - an intermediary for messaging. RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Mosquitto and RabbitMQ belong to "Message Queue" category of the tech stack.

RabbitMQ is an open source tool with 5.95K GitHub stars and 1.78K GitHub forks. Here's a link to RabbitMQ's open source repository on GitHub.

According to the StackShare community, RabbitMQ has a broader approval, being mentioned in 941 company stacks & 551 developers stacks; compared to Mosquitto, which is listed in 3 company stacks and 3 developer stacks.

What is Mosquitto?

It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

What is RabbitMQ?

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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Why do developers choose Mosquitto?
Why do developers choose RabbitMQ?

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    What companies use Mosquitto?
    What companies use RabbitMQ?

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    What tools integrate with Mosquitto?
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      What are some alternatives to Mosquitto and RabbitMQ?
      ActiveMQ
      Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
      Mosca
      A Node.js MQTT broker, which can be used as a Standalone Service or embedded in another Node.js application.
      EMQ
      It is fully open source and licensed under the Apache Version 2.0. It implements both MQTT V3.1 and V3.1.1 protocol specifications, and supports MQTT-SN, CoAP, WebSocket, STOMP and SockJS at the same time.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      Amazon SQS
      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.
      See all alternatives
      Decisions about Mosquitto and RabbitMQ
      James Cunningham
      James Cunningham
      Operations Engineer at Sentry · | 18 upvotes · 117.1K views
      atSentrySentry
      RabbitMQ
      RabbitMQ
      Celery
      Celery
      #MessageQueue

      As Sentry runs throughout the day, there are about 50 different offline tasks that we execute—anything from “process this event, pretty please” to “send all of these cool people some emails.” There are some that we execute once a day and some that execute thousands per second.

      Managing this variety requires a reliably high-throughput message-passing technology. We use Celery's RabbitMQ implementation, and we stumbled upon a great feature called Federation that allows us to partition our task queue across any number of RabbitMQ servers and gives us the confidence that, if any single server gets backlogged, others will pitch in and distribute some of the backlogged tasks to their consumers.

      #MessageQueue

      See more
      RabbitMQ
      RabbitMQ
      Kafka
      Kafka

      The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

      I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

      For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

      See more
      Frédéric MARAND
      Frédéric MARAND
      Core Developer at OSInet · | 2 upvotes · 92.8K views
      atOSInetOSInet
      RabbitMQ
      RabbitMQ
      Beanstalkd
      Beanstalkd
      Kafka
      Kafka

      I used Kafka originally because it was mandated as part of the top-level IT requirements at a Fortune 500 client. What I found was that it was orders of magnitude more complex ...and powerful than my daily Beanstalkd , and far more flexible, resilient, and manageable than RabbitMQ.

      So for any case where utmost flexibility and resilience are part of the deal, I would use Kafka again. But due to the complexities involved, for any time where this level of scalability is not required, I would probably just use Beanstalkd for its simplicity.

      I tend to find RabbitMQ to be in an uncomfortable middle place between these two extremities.

      See more
      Michael Mota
      Michael Mota
      CEO & Founder at AlterEstate · | 4 upvotes · 14.1K views
      atAlterEstateAlterEstate
      Django
      Django
      RabbitMQ
      RabbitMQ
      Celery
      Celery

      Automations are what makes a CRM powerful. With Celery and RabbitMQ we've been able to make powerful automations that truly works for our clients. Such as for example, automatic daily reports, reminders for their activities, important notifications regarding their client activities and actions on the website and more.

      We use Celery basically for everything that needs to be scheduled for the future, and using RabbitMQ as our Queue-broker is amazing since it fully integrates with Django and Celery storing on our database results of the tasks done so we can see if anything fails immediately.

      See more
      Interest over time
      Reviews of Mosquitto and RabbitMQ
      Review ofRabbitMQRabbitMQ

      I developed one of the largest queue based medical results delivery systems in the world, 18,000+ queues and still growing over a decade later all using MQSeries, later called Websphere MQ. When I left that company I started using RabbitMQ after doing some research on free offerings.. it works brilliantly and is incredibly flexible from small scale single instance use to large scale multi-server - multi-site architectures.

      If you can think in queues then RabbitMQ should be a viable solution for integrating disparate systems.

      How developers use Mosquitto and RabbitMQ
      Avatar of Cloudify
      Cloudify uses RabbitMQRabbitMQ

      The poster child for scalable messaging systems, RabbitMQ has been used in countless large scale systems as the messaging backbone of any large cluster, and has proven itself time and again in many production settings.

      Avatar of Chris Saylor
      Chris Saylor uses RabbitMQRabbitMQ

      Rabbit acts as our coordinator for all actions that happen during game time. All worker containers connect to rabbit in order to receive game events and emit their own events when applicable.

      Avatar of Clarabridge Engage
      Clarabridge Engage uses RabbitMQRabbitMQ

      Used as central Message Broker; off-loading tasks to be executed asynchronous, used as communication tool between different microservices, used as tool to handle peaks in incoming data, etc.

      Avatar of Analytical Informatics
      Analytical Informatics uses RabbitMQRabbitMQ

      RabbitMQ is the enterprise message bus for our platform, providing infrastructure for managing our ETL queues, real-time event notifications for applications, and audit logging.

      Avatar of Packet
      Packet uses RabbitMQRabbitMQ

      RabbitMQ is an all purpose queuing service for our stack. We use it for user facing jobs as well as keeping track of behind the scenes jobs.

      How much does Mosquitto cost?
      How much does RabbitMQ cost?
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