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  5. EMQ vs Mosca

EMQ vs Mosca

OverviewComparisonAlternatives

Overview

EMQX
EMQX
Stacks34
Followers109
Votes6
GitHub Stars15.4K
Forks2.4K
Mosca
Mosca
Stacks16
Followers43
Votes0

EMQ vs Mosca: What are the differences?

<EMQ and Mosca are two popular open-source MQTT brokers that are widely used for IoT applications. EMQ is known for its scalability and support for clustering, while Mosca is appreciated for its simplicity and lightweight design. Here are the key differences between EMQ and Mosca:>

  1. Scalability: EMQ is designed for high scalability and supports clustering of multiple nodes, making it suitable for large-scale IoT deployments where high reliability and performance are essential. On the other hand, Mosca is more lightweight and may be preferred for smaller projects that do not require extensive scaling capabilities.

  2. Protocol Support: EMQ offers support for a wide range of protocols in addition to MQTT, such as CoAP, STOMP, and LwM2M. This versatility allows for integrating different IoT devices and systems seamlessly. In contrast, Mosca primarily focuses on MQTT protocol support, which can be sufficient for simpler IoT applications.

  3. Administration and Management: EMQ provides a comprehensive web-based dashboard for administration and monitoring of the broker, offering detailed insights into system performance, connected clients, and message traffic. Mosca, on the other hand, may require more manual configuration and monitoring tools, as it lacks the advanced management features found in EMQ.

  4. Community and Support: EMQ has a larger and more active community of developers and users, which can be beneficial for troubleshooting issues, exploring extensions, and sharing best practices. Mosca, while still supported by a community, may have fewer resources available for assistance and development compared to EMQ.

  5. Compatibility with IoT Platforms: EMQ is often favored in IoT platforms and frameworks due to its robust feature set and compatibility with various devices and protocols, making it easier to integrate with existing IoT ecosystems. Mosca, while capable of serving MQTT broker needs, may require additional customization and integration efforts to work seamlessly with certain IoT platforms.

  6. Performance and Resource Usage: EMQ's focus on scalability may result in higher resource usage and memory footprint compared to Mosca, which is designed to be lightweight and efficient in terms of performance. Depending on the specific requirements of the IoT project, the resource efficiency of Mosca or the scalability of EMQ may be more suitable for optimal performance.

In Summary, EMQ and Mosca offer different strengths in terms of scalability, protocol support, administration tools, community support, compatibility with IoT platforms, and performance/resource efficiency, making them suitable for diverse IoT applications based on specific requirements and priorities.

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Detailed Comparison

EMQX
EMQX
Mosca
Mosca

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.

A Node.js MQTT broker, which can be used as a Standalone Service or embedded in another Node.js application.

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.
MQTT 3.1 and 3.1.1 compliant; QoS 0 and QoS 1; Various storage options for QoS 1 offline packets, and subscriptions; Usable inside ANY other Node.js app;
Statistics
GitHub Stars
15.4K
GitHub Stars
-
GitHub Forks
2.4K
GitHub Forks
-
Stacks
34
Stacks
16
Followers
109
Followers
43
Votes
6
Votes
0
Pros & Cons
Pros
  • 3
    QoS 2
  • 2
    Clusters
  • 1
    Plugins
No community feedback yet
Integrations
Linux
Linux
Cassandra
Cassandra
Kafka
Kafka
MongoDB
MongoDB
Node.js
Node.js

What are some alternatives to EMQX, Mosca?

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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