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  5. MQTT vs XMPP

MQTT vs XMPP

OverviewComparisonAlternatives

Overview

MQTT
MQTT
Stacks635
Followers577
Votes7
XMPP
XMPP
Stacks70
Followers138
Votes0

MQTT vs XMPP: What are the differences?

Introduction

In this article, we will explore the key differences between MQTT (Message Queuing Telemetry Transport) and XMPP (Extensible Messaging and Presence Protocol) in the context of website development.

  1. Scalability: MQTT is specifically designed for M2M (machine-to-machine) communication and IoT (Internet of Things) applications, making it highly scalable and efficient in handling large numbers of devices. On the other hand, XMPP is better suited for human-to-human communication and lacks the same level of scalability as MQTT.

  2. Lightweight: MQTT is a lightweight protocol, optimized for low-power devices and constrained networks. It uses a publish-subscribe model, allowing devices to subscribe to specific topics of interest and receive relevant messages, minimizing the network and device resources required. In contrast, XMPP is a more feature-rich protocol that includes real-time presence and a wider range of communication features, making it heavier in terms of bandwidth and processing requirements.

  3. Persistent and Asynchronous Communication: MQTT allows for persistent and asynchronous communication, meaning that messages can be stored and delivered to devices even if they are temporarily disconnected. This makes it ideal for remote monitoring and control applications. XMPP also supports persistent communication but in a different way. It relies on a server-based architecture where messages are routed through a central server, making it suitable for instant messaging and chat applications.

  4. Transport Layer: MQTT typically uses TCP/IP as its transport layer protocol, providing reliable and ordered delivery of messages. XMPP, on the other hand, can use both TCP and HTTP as transport layers. This flexibility allows XMPP to work over web-based protocols and may be advantageous in certain situations.

  5. Ease of Implementation: MQTT is known for its simplicity and ease of implementation, making it popular in IoT applications where resource-constrained devices and limited bandwidth are common. XMPP, on the other hand, has a more complex protocol structure and may require more resources to implement fully.

  6. Widespread Adoption: MQTT has gained significant traction in the IoT industry and is often used in industrial and home automation, telemetry, and sensor networks. XMPP, while initially developed for instant messaging, has also seen adoption in various applications, including social networks and presence management systems.

In summary, MQTT and XMPP differ in terms of scalability, lightweight nature, approach to communication, transport layer, ease of implementation, and adoption areas. Understanding these differences can help developers choose the protocol that best suits their specific website development needs.

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Detailed Comparison

MQTT
MQTT
XMPP
XMPP

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.

It is a set of open technologies for instant messaging, presence, multi-party chat, voice and video calls, collaboration, lightweight middleware, content syndication, and generalized routing of XML data.

Statistics
Stacks
635
Stacks
70
Followers
577
Followers
138
Votes
7
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
No integrations available
Java
Java
Python
Python
JavaScript
JavaScript

What are some alternatives to MQTT, XMPP?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

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.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

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.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

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.

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