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  1. Stackups
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  4. Message Queue
  5. MQTT vs Mosquitto

MQTT vs Mosquitto

OverviewComparisonAlternatives

Overview

Mosquitto
Mosquitto
Stacks136
Followers306
Votes14
MQTT
MQTT
Stacks635
Followers577
Votes7

MQTT vs Mosquitto: What are the differences?

# Introduction

Key differences between MQTT and Mosquitto are highlighted below:

1. **Protocol vs. Broker**: MQTT is a lightweight messaging protocol designed for small sensors and mobile devices to communicate efficiently over unstable networks, while Mosquitto is an open-source message broker that implements the MQTT protocol to enable message exchange between clients.
2. **Communication Functionality**: MQTT defines the communication protocol rules such as message formatting, delivery, and acknowledgment, whereas Mosquitto acts as a middleware server that manages the flow of messages between different clients subscribing/publishing to various topics.
3. **Scalability**: MQTT protocol can scale horizontally by adding more brokers to handle increased message traffic, ensuring high availability and fault tolerance, whereas Mosquitto can be scaled vertically by upgrading hardware resources to meet growing messaging demands.
4. **Cross-Platform Compatibility**: MQTT protocol is platform-independent and can be used on various operating systems and devices, ensuring interoperability, while Mosquitto is written in C/C++ and offers compatibility with multiple platforms, including Windows, Linux, and macOS.
5. **Security Features**: MQTT supports various security mechanisms like TLS/SSL encryption and username/password authentication to protect data transmission, while Mosquitto provides access control lists (ACLs), user authentication, and encryption options to secure message exchange between clients.
6. **Ease of Integration**: MQTT protocol offers easy integration with different programming languages and frameworks, simplifying the development of IoT applications, whereas Mosquitto provides libraries and APIs for popular languages like Python, Java, and C++ to facilitate seamless integration with existing systems.

# Summary

In summary, MQTT and Mosquitto differ in terms of their protocol implementation, communication functionality, scalability, compatibility, security features, and ease of integration.

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Detailed Comparison

Mosquitto
Mosquitto
MQTT
MQTT

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 was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.

Statistics
Stacks
136
Stacks
635
Followers
306
Followers
577
Votes
14
Votes
7
Pros & Cons
Pros
  • 10
    Simple and light
  • 4
    Performance
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Lightweight with a relatively small data footprint
  • 2
    Very easy to configure and use with open source tools
Cons
  • 1
    Easy to configure in an unsecure manner

What are some alternatives to Mosquitto, MQTT?

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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