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ActiveMQ
ActiveMQ

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228
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51
Sparrow
Sparrow

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4
+ 1
0
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ActiveMQ vs Sparrow: 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, Sparrow is detailed as "A really fast lightweight queue written in Ruby that speaks memcache". Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown.

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

ActiveMQ is an open source tool with 1.5K 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 Sparrow?

Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown.
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          What tools integrate with ActiveMQ?
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            What are some alternatives to ActiveMQ and Sparrow?
            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 Sparrow
            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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