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  4. Message Queue
  5. Mosquitto vs ZeroMQ

Mosquitto vs ZeroMQ

OverviewComparisonAlternatives

Overview

ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K
Mosquitto
Mosquitto
Stacks136
Followers306
Votes14

Mosquitto vs ZeroMQ: What are the differences?

Introduction

Mosquitto and ZeroMQ are both messaging protocols that facilitate communication between different applications and systems. While they serve a similar purpose, there are several key differences that set them apart. This Markdown code provides a concise comparison of these two protocols, outlining their unique features and functionalities.

  1. Transportation Mechanism: Mosquitto uses the publish-subscribe pattern, where messages are distributed from a single sender (publisher) to multiple recipients (subscribers). On the other hand, ZeroMQ supports various messaging patterns, such as request-reply, publish-subscribe, and push-pull, allowing for more flexible communication mechanisms.

  2. Message Reliability: Mosquitto guarantees message delivery using QoS (Quality of Service) levels, including "At Most Once" (message loss is acceptable), "At Least Once" (message duplication is acceptable), and "Exactly Once" (both message loss and duplication are unacceptable). ZeroMQ, as a lightweight and fast messaging protocol, does not inherently provide reliability mechanisms and assumes best-effort delivery by default.

  3. Message Routing: In Mosquitto, the message routing is driven by the broker, which acts as a centralized mediator for message distribution. The broker is responsible for handling subscriptions, forwarding messages to appropriate subscribers, and managing topics. In contrast, ZeroMQ does not rely on a centralized broker but instead allows direct communication between individual nodes or endpoints in a decentralized manner.

  4. Message Size: Mosquitto imposes a maximum message size limit, defined by the broker configuration. If a message exceeds this size, it will be rejected. ZeroMQ, on the other hand, has no strict message size limit and can handle larger messages more efficiently.

  5. Programming Language Support: Both Mosquitto and ZeroMQ offer support for various programming languages. However, Mosquitto primarily employs the MQTT protocol and provides libraries for languages such as C, C++, Python, and Java. ZeroMQ, on the other hand, offers language bindings for many more languages, including C, C++, Python, Java, Ruby, C#, and more, making it more flexible in terms of integration with different programming environments.

  6. Performance and Scalability: Mosquitto is known for its lightweight nature, making it a suitable choice for low-power devices and constrained environments. It is designed to handle a moderate number of clients and messages efficiently. On the other hand, ZeroMQ is highly optimized for high-performance and scalable messaging applications, making it a preferred choice for demanding scenarios that require handling a large volume of messages with low latency.

In summary, Mosquitto and ZeroMQ differ in their transportation mechanisms, message reliability, message routing, message size limitations, programming language support, and performance/scalability characteristics. These differences allow users to choose the most suitable protocol based on their specific needs and requirements.

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Detailed Comparison

ZeroMQ
ZeroMQ
Mosquitto
Mosquitto

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.

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.

Connect your code in any language, on any platform.;Carries messages across inproc, IPC, TCP, TPIC, multicast.;Smart patterns like pub-sub, push-pull, and router-dealer.;High-speed asynchronous I/O engines, in a tiny library.;Backed by a large and active open source community.;Supports every modern language and platform.;Build any architecture: centralized, distributed, small, or large.;Free software with full commercial support.
-
Statistics
GitHub Stars
10.6K
GitHub Stars
-
GitHub Forks
2.5K
GitHub Forks
-
Stacks
258
Stacks
136
Followers
586
Followers
306
Votes
71
Votes
14
Pros & Cons
Pros
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low latency
Cons
  • 5
    No message durability
  • 3
    Not a very reliable system - message delivery wise
  • 1
    M x N problem with M producers and N consumers
Pros
  • 10
    Simple and light
  • 4
    Performance

What are some alternatives to ZeroMQ, 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.

RabbitMQ

RabbitMQ

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

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.

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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