ActiveMQ聽vs聽Kafka聽vs聽Kestrel

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ActiveMQ
ActiveMQ

261
406
+ 1
54
Kafka
Kafka

4.9K
4.4K
+ 1
489
Kestrel
Kestrel

13
9
+ 1
0

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 Kafka?

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

What is Kestrel?

Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.
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Why do developers choose ActiveMQ?
Why do developers choose Kafka?
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        What companies use ActiveMQ?
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        What tools integrate with ActiveMQ?
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          What are some alternatives to ActiveMQ, Kafka, and Kestrel?
          RabbitMQ
          RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
          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
          Decisions about ActiveMQ, Kafka, and Kestrel
          Roman Bulgakov
          Roman Bulgakov
          Senior Back-End Developer, Software Architect at Chemondis GmbH | 3 upvotes 10.5K views
          Kafka
          Kafka

          I use Kafka because it has almost infinite scaleability in terms of processing events (could be scaled to process hundreds of thousands of events), great monitoring (all sorts of metrics are exposed via JMX).

          Downsides of using Kafka are: - you have to deal with Zookeeper - you have to implement advanced routing yourself (compared to RabbitMQ it has no advanced routing)

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          Kafka
          Kafka
          RabbitMQ
          RabbitMQ

          The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

          I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

          For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

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          Fr茅d茅ric MARAND
          Fr茅d茅ric MARAND
          Core Developer at OSInet | 2 upvotes 121.7K views
          atOSInetOSInet
          Beanstalkd
          Beanstalkd
          RabbitMQ
          RabbitMQ
          Kafka
          Kafka

          I used Kafka originally because it was mandated as part of the top-level IT requirements at a Fortune 500 client. What I found was that it was orders of magnitude more complex ...and powerful than my daily Beanstalkd , and far more flexible, resilient, and manageable than RabbitMQ.

          So for any case where utmost flexibility and resilience are part of the deal, I would use Kafka again. But due to the complexities involved, for any time where this level of scalability is not required, I would probably just use Beanstalkd for its simplicity.

          I tend to find RabbitMQ to be in an uncomfortable middle place between these two extremities.

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          Interest over time
          Reviews of ActiveMQ, Kafka, and Kestrel
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          How developers use ActiveMQ, Kafka, and Kestrel
          Avatar of Pinterest
          Pinterest uses KafkaKafka

          http://media.tumblr.com/d319bd2624d20c8a81f77127d3c878d0/tumblr_inline_nanyv6GCKl1s1gqll.png

          Front-end messages are logged to Kafka by our API and application servers. We have batch processing (on the middle-left) and real-time processing (on the middle-right) pipelines to process the experiment data. For batch processing, after daily raw log get to s3, we start our nightly experiment workflow to figure out experiment users groups and experiment metrics. We use our in-house workflow management system Pinball to manage the dependencies of all these MapReduce jobs.

          Avatar of Coolfront Technologies
          Coolfront Technologies uses KafkaKafka

          Building out real-time streaming server to present data insights to Coolfront Mobile customers and internal sales and marketing teams.

          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.

          Avatar of ShareThis
          ShareThis uses KafkaKafka

          We are using Kafka as a message queue to process our widget logs.

          Avatar of Christopher Davison
          Christopher Davison uses KafkaKafka

          Used for communications and triggering jobs across ETL systems

          Avatar of theskyinflames
          theskyinflames uses KafkaKafka

          Used as a integration middleware by messaging interchanging.

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          How much does Kafka cost?
          How much does Kestrel cost?
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