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  1. Stackups
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  3. EMQ vs Mosquitto

EMQ vs Mosquitto

OverviewComparisonAlternatives

Overview

Mosquitto
Mosquitto
Stacks140
Followers306
Votes14
EMQX
EMQX
Stacks35
Followers109
Votes6
GitHub Stars15.4K
Forks2.4K

Mosquitto vs EMQ: What are the differences?

EMQ and Mosquitto are open-source MQTT brokers used for building scalable and reliable Internet of Things (IoT) messaging systems. Let's explore the key differences between EMQ and Mosquitto:

  1. Scalability and Performance: EMQ is designed with scalability in mind and is known for its high performance. It utilizes a distributed architecture and supports clustering, allowing it to handle large-scale deployments with millions of connected devices. EMQ can horizontally scale by adding more nodes to the cluster, ensuring high throughput and low latency. Mosquitto, on the other hand, is a lightweight MQTT broker suitable for smaller deployments with moderate message loads. It may not provide the same level of scalability and performance as EMQ in highly demanding scenarios.

  2. Ease of Use and Configuration: Mosquitto is praised for its user-friendly nature and simplicity. Its configuration is straightforward, making it easy to set up and manage. On the other hand, EMQ is more powerful and scalable, but its advanced features and configuration options may require a higher learning curve and expertise for setup and maintenance. EMQ offers extensive configuration capabilities for precise control over broker behavior.

  3. Feature Set: EMQ provides a comprehensive set of features and protocols beyond MQTT. It supports MQTT-SN (MQTT for Sensor Networks), MQTT over WebSocket, CoAP (Constrained Application Protocol), and other protocols. EMQ also offers features like message persistence, message routing, and message filtering based on topic patterns. Mosquitto, on the other hand, focuses primarily on providing a reliable MQTT broker. It supports the MQTT protocol, including QoS levels, retain messages, and last will and testament.

  4. Security: Both EMQ and Mosquitto offer various security features for MQTT communication. They support TLS encryption for secure communication over the network, allowing clients to authenticate and encrypt their MQTT connections. EMQ also provides access control lists (ACLs), which allow fine-grained control over client permissions. Mosquitto also supports access control through its ACL feature, but it may not offer the same level of flexibility and granularity as EMQ.

  5. Community and Support: Mosquitto has a large and active community of users and contributors. It is widely adopted and has been in development for many years. EMQ also has an active community, although it may be smaller compared to Mosquitto.

In summary, EMQ is known for its scalability, high performance, and advanced features, making it suitable for large-scale deployments. Mosquitto, on the other hand, is lightweight, easy to use, and suitable for smaller deployments with moderate message loads.

Detailed Comparison

Mosquitto
Mosquitto
EMQX
EMQX

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.

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.

-
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
140
Stacks
35
Followers
306
Followers
109
Votes
14
Votes
6
Pros & Cons
Pros
  • 10
    Simple and light
  • 4
    Performance
Pros
  • 3
    QoS 2
  • 2
    Clusters
  • 1
    Plugins
Integrations
No integrations available
Linux
Linux
Cassandra
Cassandra
Kafka
Kafka
MongoDB
MongoDB

What are some alternatives to Mosquitto, EMQX?

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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