ActiveMQ
ActiveMQ

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Starling
Starling

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ActiveMQ vs Starling: 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, Starling is detailed as "A light weight server for reliable distributed message passing". Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.

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

ActiveMQ and Starling are both open source tools. ActiveMQ with 1.5K GitHub stars and 1.05K forks on GitHub appears to be more popular than Starling with 468 GitHub stars and 63 GitHub forks.

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 Starling?

Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.

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        What tools integrate with ActiveMQ?
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          What are some alternatives to ActiveMQ and Starling?
          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.
          See all alternatives
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          How developers use ActiveMQ and Starling
          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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