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  4. Message Queue
  5. Mosquitto vs RabbitMQ

Mosquitto vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Mosquitto
Mosquitto
Stacks136
Followers306
Votes14

Mosquitto vs RabbitMQ: What are the differences?

Both Mosquitto and RabbitMQ are messaging brokers that facilitate communication between different components in a system. Let's explore the key differences between Mosquitto and RabbitMQ.

  1. Protocol Support: Mosquitto primarily supports the MQTT (Message Queuing Telemetry Transport) protocol, which is a lightweight publish-subscribe messaging protocol. On the other hand, RabbitMQ supports multiple messaging protocols, including AMQP (Advanced Message Queuing Protocol), MQTT, and STOMP (Simple Text Oriented Messaging Protocol). This gives RabbitMQ greater flexibility in integrating with a wider range of applications and clients.

  2. Message Routing: Mosquitto uses a simple publish-subscribe model, where messages are published to specific topics and subscribers receive messages from subscribed topics. On the other hand, RabbitMQ supports more advanced routing features, such as direct exchange, topic exchange, fanout exchange, and headers exchange. This allows RabbitMQ to handle more complex message routing scenarios and enables flexible message distribution based on various criteria.

  3. Concurrency Handling: Mosquitto is designed to be lightweight and efficient, making it suitable for low-resource environments. It can handle a large number of concurrent connections using a single thread, which simplifies deployment and reduces resource usage. In contrast, RabbitMQ is built on Erlang and utilizes a multi-threaded architecture, making it capable of handling high concurrency scenarios. It achieves high scalability and fault-tolerance through its shared-nothing architecture.

  4. Message Persistence: Mosquitto does not provide built-in message persistence. Once a message is published, it is delivered to currently connected clients. If a client is not connected, it will miss the message. In contrast, RabbitMQ provides durable message storage, ensuring that messages are not lost even if the broker or an individual client is temporarily offline. This makes RabbitMQ suitable for applications that require reliable message delivery.

  5. Advanced Features: RabbitMQ offers a wider range of advanced features compared to Mosquitto. These include message acknowledgments, message priority, dead-letter exchange, message TTL (Time-to-Live), and message compression. These features allow developers to implement more sophisticated messaging patterns and enhance the reliability, performance, and flexibility of the messaging system.

  6. Community and Ecosystem: Both Mosquitto and RabbitMQ have active communities and support from their respective organizations. However, RabbitMQ has a larger and more mature ecosystem with extensive documentation, plugins, and integrations, making it easier to find resources and solutions for various use cases. Mosquitto, being a lightweight MQTT broker, is more focused on simplicity and efficiency, making it an ideal choice for resource-constrained devices and IoT applications.

In summary, Mosquitto and RabbitMQ differ in terms of protocol support, message routing capabilities, concurrency handling, message persistence, advanced features, and community/ecosystem. These differences make them suitable for different scenarios, with Mosquitto excelling in lightweight MQTT deployments and RabbitMQ providing more advanced messaging features and scalability options.

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Advice on RabbitMQ, Mosquitto

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
André
André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon.NET Core.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k
Comments
mediafinger
mediafinger

Feb 13, 2019

ReviewonKafkaKafkaRabbitMQRabbitMQ

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).

159k views159k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
Mosquitto
Mosquitto

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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.

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
-
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
136
Followers
18.9K
Followers
306
Votes
558
Votes
14
Pros & Cons
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow
Pros
  • 10
    Simple and light
  • 4
    Performance

What are some alternatives to RabbitMQ, Mosquitto?

Kafka

Kafka

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

Celery

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.

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

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

Gearman

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.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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