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  5. Mosquitto vs nanomsg

Mosquitto vs nanomsg

OverviewComparisonAlternatives

Overview

Mosquitto
Mosquitto
Stacks136
Followers306
Votes14
nanomsg
nanomsg
Stacks10
Followers29
Votes0

Mosquitto vs nanomsg: What are the differences?

Introduction

Mosquitto and nanomsg are two different messaging protocols used in the field of computer networking. While they both serve the purpose of facilitating communication between different parts of a network, there are some key differences that set them apart. This article aims to highlight and define these differences to provide a better understanding of their respective functionalities and use cases.

  1. Message Queuing Telemetry Transport (MQTT) vs Publish-Subscribe Messaging Pattern: Mosquitto is an MQTT broker whereas nanomsg is a messaging library that follows the publish-subscribe messaging pattern. MQTT is a lightweight messaging protocol specifically designed for constrained devices and low-bandwidth, unreliable networks. In contrast, nanomsg is a more general-purpose messaging library that provides a wide range of messaging patterns.

  2. Protocol Support: Mosquitto primarily offers support for the MQTT protocol, allowing clients to publish and subscribe to MQTT topics. On the other hand, nanomsg provides support for various transport protocols, including TCP, IPC, and inproc, making it more versatile in terms of connectivity options.

  3. Scalability and Performance: When it comes to scalability and performance, Mosquitto is designed to handle a high number of connected clients efficiently. It utilizes a lightweight publish-subscribe model that allows for efficient message distribution. Nanomsg, on the other hand, focuses on maximizing performance through fine-grained control over message passing, making it suitable for high-performance scenarios.

  4. Message Filters and Content-based Routing: Mosquitto supports a feature known as message filtering, which allows subscribers to subscribe to specific topics or topic patterns and receive only the relevant messages. This enables content-based message routing, ensuring efficient and targeted message delivery. In nanomsg, however, message filtering and content-based routing need to be implemented separately, making it a more manual process.

  5. Ease of Use and Implementation: Mosquitto aims to provide a simple and user-friendly interface, making it relatively easy to use and implement MQTT-based communication in applications. Nanomsg, being a more general-purpose messaging library, requires more effort and expertise to implement, especially when utilizing its various messaging patterns and transport protocols.

  6. Community and Ecosystem: Both Mosquitto and nanomsg have their respective communities and ecosystem of tools and libraries built around them. However, due to MQTT's widespread adoption and specific use case in the Internet of Things (IoT) domain, Mosquitto has a more extensive community support and existing integrations available compared to nanomsg.

In summary, Mosquitto and nanomsg differ in terms of their messaging protocols, support for different transport protocols, scalability, message filtering capabilities, ease of use, implementation efforts, and community support. The choice between the two depends on the specific requirements and use cases of the application or network being developed.

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Detailed Comparison

Mosquitto
Mosquitto
nanomsg
nanomsg

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.

It is a socket library that provides several common communication patterns. It aims to make the networking layer fast, scalable, and easy to use. Implemented in C, it works on a wide range of operating systems with no further dependencies.

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Makes networking layer fast; Works on a wide range of operating systems
Statistics
Stacks
136
Stacks
10
Followers
306
Followers
29
Votes
14
Votes
0
Pros & Cons
Pros
  • 10
    Simple and light
  • 4
    Performance
No community feedback yet
Integrations
No integrations available
Python
Python
JavaScript
JavaScript
C++
C++
.NET
.NET
Node.js
Node.js
Java
Java
PHP
PHP
Perl
Perl
Ruby
Ruby
Rust
Rust

What are some alternatives to Mosquitto, nanomsg?

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.

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.

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