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  5. ActiveMQ vs Mosquitto

ActiveMQ vs Mosquitto

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
Mosquitto
Mosquitto
Stacks136
Followers306
Votes14

ActiveMQ vs Mosquitto: What are the differences?

Comparison between ActiveMQ and Mosquitto

ActiveMQ and Mosquitto are both messaging brokers used for communication between applications. However, there are key differences that set them apart.

  1. Support for Protocols: ActiveMQ supports multiple messaging protocols, including AMQP, MQTT, OpenWire, and STOMP, making it versatile for different communication requirements. On the other hand, Mosquitto is designed specifically for MQTT (Message Queuing Telemetry Transport) protocol, focusing on lightweight and efficient messaging.

  2. Ease of Setup and Configuration: ActiveMQ offers a comprehensive and feature-rich messaging system, which requires more extensive setup and configuration. It provides advanced features like message persistence, clustering, and load balancing. In contrast, Mosquitto focuses on simplicity and minimalism, offering a lightweight and easy-to-use messaging broker with straightforward configuration options.

  3. Community and Support: ActiveMQ has a large and active community, providing extensive documentation, tutorials, and support channels. It benefits from being an Apache Software Foundation project, which ensures continuous development and updates. Mosquitto, originally developed by Eclipse, also has a strong community and ongoing development support, though it may not be as widespread as ActiveMQ.

  4. Scalability and Performance: ActiveMQ is designed to handle high-traffic enterprise environments, providing robust scalability and performance capabilities. It supports features like message persistence, load balancing, and cluster-based deployments. Mosquitto, being a lightweight MQTT broker, is more suited for low-latency, low-bandwidth scenarios, where simplicity and efficiency are prioritized over heavy enterprise-grade capabilities.

  5. Interoperability and Integration: ActiveMQ has extensive support for integration with various systems and platforms, such as Java/J2EE, .NET, Spring Framework, and Apache Camel. It also supports interoperability with other messaging systems like JMS (Java Message Service) and MQTT. Mosquitto, being MQTT-focused, offers seamless integration with MQTT clients and libraries across different programming languages.

  6. Commercial Support: ActiveMQ has commercial support available from companies like Red Hat and IBM, providing enterprise-level support, consulting, and training services. Mosquitto, being an open-source project, primarily relies on community support, although professional services may be available from third-party vendors.

In summary, ActiveMQ is a feature-rich messaging broker with support for multiple protocols, advanced features, and extensive community support. Mosquitto, on the other hand, is a lightweight MQTT broker focusing on simplicity, efficiency, and ease of use. The choice between them depends on specific requirements and the scale of the messaging system.

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Detailed Comparison

ActiveMQ
ActiveMQ
Mosquitto
Mosquitto

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.

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.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
-
Statistics
GitHub Stars
2.4K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
879
Stacks
136
Followers
1.3K
Followers
306
Votes
77
Votes
14
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Low resilience to exceptions and interruptions
  • 1
    ONLY Vertically Scalable
  • 1
    Support
  • 1
    Difficult to scale
Pros
  • 10
    Simple and light
  • 4
    Performance

What are some alternatives to ActiveMQ, Mosquitto?

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.

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.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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