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  4. Message Queue
  5. Apache RocketMQ vs Mosquitto

Apache RocketMQ vs Mosquitto

OverviewComparisonAlternatives

Overview

Mosquitto
Mosquitto
Stacks136
Followers306
Votes14
Apache RocketMQ
Apache RocketMQ
Stacks48
Followers200
Votes8

Apache RocketMQ vs Mosquitto: What are the differences?

Introduction:
When comparing Apache RocketMQ and Mosquitto, there are key differences that differentiate the two messaging systems.

  1. Message Protocol Support: Apache RocketMQ supports various messaging protocols including MQTT, TCP, and HTTPS, offering flexibility to developers in choosing the protocol that best suits their needs. On the other hand, Mosquitto primarily focuses on MQTT protocol, offering a more streamlined approach for MQTT-based messaging applications.

  2. Clustering and High Availability: Apache RocketMQ provides built-in support for clustering and high availability features, allowing for easy scalability and fault tolerance for large-scale applications. In contrast, Mosquitto lacks native support for clustering and high availability, requiring additional configuration and setup for achieving the same level of scalability and fault tolerance.

  3. Community and Support: In terms of community and support, Apache RocketMQ has a larger and more active community of contributors, developers, and users compared to Mosquitto. This results in better documentation, more frequent updates, and a stronger ecosystem for Apache RocketMQ.

  4. Storage Support: Apache RocketMQ offers support for multiple storage options such as Apache Kafka, LevelDB, and MySQL, providing flexibility in choosing the storage solution based on specific requirements. On the other hand, Mosquitto has limited storage support options, primarily relying on local file-based storage for message persistence.

  5. Scalability and Performance: Apache RocketMQ is known for its high scalability and performance capabilities, making it suitable for handling large volumes of data and high throughput requirements. In contrast, Mosquitto is more lightweight and may not be as performant or scalable as Apache RocketMQ in scenarios with high traffic loads.

In Summary, Apache RocketMQ and Mosquitto differ in terms of protocol support, clustering capabilities, community support, storage options, scalability, and performance characteristics.

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Detailed Comparison

Mosquitto
Mosquitto
Apache RocketMQ
Apache RocketMQ

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.

Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

Statistics
Stacks
136
Stacks
48
Followers
306
Followers
200
Votes
14
Votes
8
Pros & Cons
Pros
  • 10
    Simple and light
  • 4
    Performance
Pros
  • 2
    Million-level message accumulation capacity in a single
  • 2
    Support tracing message and transactional message
  • 1
    High throughput messaging
  • 1
    BigData Friendly
  • 1
    Low latency
Integrations
No integrations available
Docker
Docker

What are some alternatives to Mosquitto, Apache RocketMQ?

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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