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ActiveMQ
ActiveMQ

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Apache Camel
Apache Camel

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ActiveMQ vs Apache Camel: What are the differences?

ActiveMQ: 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; Apache Camel: A versatile open source integration framework. An open source Java framework that focuses on making integration easier and more accessible to developers.

ActiveMQ belongs to "Message Queue" category of the tech stack, while Apache Camel can be primarily classified under "Integration Tools".

ActiveMQ is an open source tool with 1.53K GitHub stars and 1.06K GitHub forks. Here's a link to ActiveMQ's open source repository on GitHub.

Intuit, Wix, and SoFi are some of the popular companies that use ActiveMQ, whereas Apache Camel is used by Auto Trader, Zola, and opening.io. ActiveMQ has a broader approval, being mentioned in 52 company stacks & 120 developers stacks; compared to Apache Camel, which is listed in 21 company stacks and 30 developer stacks.

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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 Apache Camel?

An open source Java framework that focuses on making integration easier and more accessible to developers.
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      What tools integrate with ActiveMQ?
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      What are some alternatives to ActiveMQ and Apache Camel?
      RabbitMQ
      RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
      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.
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      How developers use ActiveMQ and Apache Camel
      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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