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ActiveMQ vs RabbitMQ: What are the differences?

Developers describe ActiveMQ as "A message broker written in Java together with a full JMS client". 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. On the other hand, RabbitMQ is detailed as "A messaging broker - an intermediary for messaging". RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

ActiveMQ and RabbitMQ can be categorized as "Message Queue" tools.

"Open source" is the primary reason why developers consider ActiveMQ over the competitors, whereas "It's fast and it works with good metrics/monitoring" was stated as the key factor in picking RabbitMQ.

ActiveMQ and RabbitMQ are both open source tools. RabbitMQ with 5.88K GitHub stars and 1.73K forks on GitHub appears to be more popular than ActiveMQ with 1.49K GitHub stars and 1.04K GitHub forks.

According to the StackShare community, RabbitMQ has a broader approval, being mentioned in 921 company stacks & 532 developers stacks; compared to ActiveMQ, which is listed in 33 company stacks and 17 developer stacks.

What is 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.

What is RabbitMQ?

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Want advice about which of these to choose?Ask the StackShare community!

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    What companies use ActiveMQ?
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    What are some alternatives to ActiveMQ and RabbitMQ?
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    Apollo
    Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
    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.
    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.
    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.
    See all alternatives
    What tools integrate with ActiveMQ?
    What tools integrate with RabbitMQ?
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        Interest over time
        Reviews of ActiveMQ and RabbitMQ
        Review ofRabbitMQRabbitMQ

        I developed one of the largest queue based medical results delivery systems in the world, 18,000+ queues and still growing over a decade later all using MQSeries, later called Websphere MQ. When I left that company I started using RabbitMQ after doing some research on free offerings.. it works brilliantly and is incredibly flexible from small scale single instance use to large scale multi-server - multi-site architectures.

        If you can think in queues then RabbitMQ should be a viable solution for integrating disparate systems.

        How developers use ActiveMQ and RabbitMQ
        Avatar of Cloudify
        Cloudify uses RabbitMQRabbitMQ

        The poster child for scalable messaging systems, RabbitMQ has been used in countless large scale systems as the messaging backbone of any large cluster, and has proven itself time and again in many production settings.

        Avatar of Chris Saylor
        Chris Saylor uses RabbitMQRabbitMQ

        Rabbit acts as our coordinator for all actions that happen during game time. All worker containers connect to rabbit in order to receive game events and emit their own events when applicable.

        Avatar of Clarabridge Engage
        Clarabridge Engage uses RabbitMQRabbitMQ

        Used as central Message Broker; off-loading tasks to be executed asynchronous, used as communication tool between different microservices, used as tool to handle peaks in incoming data, etc.

        Avatar of Analytical Informatics
        Analytical Informatics uses RabbitMQRabbitMQ

        RabbitMQ is the enterprise message bus for our platform, providing infrastructure for managing our ETL queues, real-time event notifications for applications, and audit logging.

        Avatar of Packet
        Packet uses RabbitMQRabbitMQ

        RabbitMQ is an all purpose queuing service for our stack. We use it for user facing jobs as well as keeping track of behind the scenes jobs.

        Avatar of Casey Smith
        Casey Smith uses ActiveMQActiveMQ

        Remote broker and local client for incoming data feeds. Local broker for republishing data feeds to other systems.

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