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  1. Stackups
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  4. Message Queue
  5. Mosca vs RabbitMQ

Mosca vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Mosca
Mosca
Stacks16
Followers43
Votes0

Mosca vs RabbitMQ: What are the differences?

Introduction

In this article, we will discuss the key differences between Mosca and RabbitMQ, two popular message brokers commonly used in software development environments.

  1. Architecture: Mosca is a standalone message broker that is written entirely in JavaScript and built on top of MQTT protocol. On the other hand, RabbitMQ is a robust and scalable message broker written in Erlang and adheres to the AMQP (Advanced Message Queuing Protocol) standard.

  2. Supported Protocols: Mosca primarily supports the MQTT (Message Queuing Telemetry Transport) protocol, which is lightweight and ideal for IoT (Internet of Things) applications. RabbitMQ, on the contrary, supports a wide range of messaging protocols including AMQP, MQTT, STOMP, and HTTP, making it more versatile for different use cases and integration scenarios.

  3. Ease of Use: Mosca is relatively easy to set up and use, especially if you're already familiar with JavaScript. It provides a simple interface and requires fewer configurations compared to RabbitMQ. RabbitMQ, on the other hand, has a steeper learning curve and requires advanced knowledge of messaging concepts, but offers more features and flexibility once mastered.

  4. Scalability and Performance: RabbitMQ is designed to handle high volumes of messages and offers excellent performance and scalability capabilities. It utilizes a robust message queueing mechanism and supports clustering, allowing for horizontal scalability when needed. Mosca, being more lightweight and focused on MQTT, may not be as suitable for massive workloads or scenarios requiring high throughput.

  5. Community and Support: RabbitMQ has a larger and more active community compared to Mosca, which leads to better support, extensive documentation, and a wide range of available plugins and integrations. Mosca, while still supported and maintained, might have limited community resources available for troubleshooting or customization requirements.

  6. Enterprise Features: RabbitMQ offers additional enterprise-grade features such as message persistence, message acknowledgments, and guaranteed delivery mechanisms, making it suitable for use in mission-critical applications or scenarios where message reliability is paramount. Mosca, as a more lightweight broker, may not provide the same level of reliability and advanced messaging features out of the box.

In Summary, Mosca and RabbitMQ differ in terms of architecture, supported protocols, ease of use, scalability and performance, community and support, and enterprise features. Understanding these differences will help developers choose the most appropriate message broker for their specific use cases and requirements.

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Advice on RabbitMQ, Mosca

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
Mosca
Mosca

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

A Node.js MQTT broker, which can be used as a Standalone Service or embedded in another Node.js application.

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
MQTT 3.1 and 3.1.1 compliant; QoS 0 and QoS 1; Various storage options for QoS 1 offline packets, and subscriptions; Usable inside ANY other Node.js app;
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
16
Followers
18.9K
Followers
43
Votes
558
Votes
0
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
No community feedback yet
Integrations
No integrations available
Node.js
Node.js

What are some alternatives to RabbitMQ, Mosca?

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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