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ActiveMQ
ActiveMQ

198
233
+ 1
51
IBM MQ
IBM MQ

17
20
+ 1
0
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ActiveMQ vs IBM MQ: 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, IBM MQ is detailed as "Enterprise-grade messaging middleware". It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.

ActiveMQ and IBM MQ belong to "Message Queue" category of the tech stack.

ActiveMQ is an open source tool with 1.51K GitHub stars and 1.05K GitHub forks. Here's a link to ActiveMQ's open source repository on GitHub.

- No public GitHub repository available -

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 IBM MQ?

It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.
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            What are some alternatives to ActiveMQ and IBM MQ?
            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 IBM MQ
            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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            How much does IBM MQ cost?
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