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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. EMQ vs XMPP

EMQ vs XMPP

OverviewComparisonAlternatives

Overview

XMPP
XMPP
Stacks70
Followers138
Votes0
EMQX
EMQX
Stacks34
Followers109
Votes6
GitHub Stars15.4K
Forks2.4K

XMPP vs EMQ: What are the differences?

Developers describe XMPP as "An open XML technology for real-time communication". 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. On the other hand, EMQ is detailed as "The Scalable MQTT Broker for IoT and Mobile Applications". It is fully open source and licensed under the Apache Version 2.0. It implements both MQTT V3.1 and V3.1.1 protocol specifications, and supports MQTT-SN, CoAP, WebSocket, STOMP and SockJS at the same time.

XMPP and EMQ are primarily classified as "Container" and "Message Queue" tools respectively.

EMQ is an open source tool with 181 GitHub stars and 96 GitHub forks. Here's a link to EMQ's open source repository on GitHub.

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Detailed Comparison

XMPP
XMPP
EMQX
EMQX

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.

EMQX is a cloud-native, MQTT-based, IoT messaging platform designed for high reliability and massive scale. Licensed under the Apache Version 2.0, EMQX is 100% compliant with MQTT 5.0 and 3.x standard protocol specifications.

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Scale to 100 million concurrent MQTT connections with a single EMQX 5.0 cluster./Licensed under the Apache Version 2.0, 100% compliant with MQTT 5.0 and 3.x standard protocol specifications for better scalability, security, and reliability./Move and process millions of MQTT messages per second in a single broker./Guarantee sub-millisecond latency in message delivery with the soft real-time runtime./Achieve high availability and horizontal scalability with a masterless distributed architecture./Easy to deploy on-premises and in public clouds with Kubernetes Operator and Terraform.
Statistics
GitHub Stars
-
GitHub Stars
15.4K
GitHub Forks
-
GitHub Forks
2.4K
Stacks
70
Stacks
34
Followers
138
Followers
109
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 3
    QoS 2
  • 2
    Clusters
  • 1
    Plugins
Integrations
Java
Java
Python
Python
JavaScript
JavaScript
Linux
Linux
Cassandra
Cassandra
Kafka
Kafka
MongoDB
MongoDB

What are some alternatives to XMPP, EMQX?

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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