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RabbitMQ
RabbitMQ

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Sparrow
Sparrow

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0
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RabbitMQ vs Sparrow: What are the differences?

RabbitMQ: A messaging broker - an intermediary for messaging. RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received; Sparrow: 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.

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

RabbitMQ is an open source tool with 5.94K GitHub stars and 1.78K GitHub forks. Here's a link to RabbitMQ's open source repository on GitHub.

- No public GitHub repository available -

What is RabbitMQ?

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

What is Sparrow?

Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown.
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Why do developers choose RabbitMQ?
Why do developers choose Sparrow?
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      What companies use RabbitMQ?
      What companies use Sparrow?
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        What tools integrate with RabbitMQ?
        What tools integrate with Sparrow?
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          What are some alternatives to RabbitMQ and Sparrow?
          Kafka
          Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
          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.
          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.
          Amazon SNS
          Amazon Simple Notification Service makes it simple and cost-effective to push to mobile devices such as iPhone, iPad, Android, Kindle Fire, and internet connected smart devices, as well as pushing to other distributed services. Besides pushing cloud notifications directly to mobile devices, SNS can also deliver notifications by SMS text message or email, to Simple Queue Service (SQS) queues, or to any HTTP endpoint.
          Redis
          Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
          See all alternatives
          Decisions about RabbitMQ and Sparrow
          James Cunningham
          James Cunningham
          Operations Engineer at Sentry · | 18 upvotes · 237.1K views
          atSentrySentry
          Celery
          Celery
          RabbitMQ
          RabbitMQ
          #MessageQueue

          As Sentry runs throughout the day, there are about 50 different offline tasks that we execute—anything from “process this event, pretty please” to “send all of these cool people some emails.” There are some that we execute once a day and some that execute thousands per second.

          Managing this variety requires a reliably high-throughput message-passing technology. We use Celery's RabbitMQ implementation, and we stumbled upon a great feature called Federation that allows us to partition our task queue across any number of RabbitMQ servers and gives us the confidence that, if any single server gets backlogged, others will pitch in and distribute some of the backlogged tasks to their consumers.

          #MessageQueue

          See more
          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).

          See more
          Frédéric MARAND
          Frédéric MARAND
          Core Developer at OSInet · | 2 upvotes · 106.1K 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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          Michael Mota
          Michael Mota
          CEO & Founder at AlterEstate · | 4 upvotes · 60.9K views
          atAlterEstateAlterEstate
          Celery
          Celery
          RabbitMQ
          RabbitMQ
          Django
          Django

          Automations are what makes a CRM powerful. With Celery and RabbitMQ we've been able to make powerful automations that truly works for our clients. Such as for example, automatic daily reports, reminders for their activities, important notifications regarding their client activities and actions on the website and more.

          We use Celery basically for everything that needs to be scheduled for the future, and using RabbitMQ as our Queue-broker is amazing since it fully integrates with Django and Celery storing on our database results of the tasks done so we can see if anything fails immediately.

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          Interest over time
          Reviews of RabbitMQ and Sparrow
          Review ofRabbitMQRabbitMQ

          I developed one of the largest queue based medical results delivery systems in the world, 18,000+ queues and still growing over a decade later all using MQSeries, later called Websphere MQ. When I left that company I started using RabbitMQ after doing some research on free offerings.. it works brilliantly and is incredibly flexible from small scale single instance use to large scale multi-server - multi-site architectures.

          If you can think in queues then RabbitMQ should be a viable solution for integrating disparate systems.

          How developers use RabbitMQ and Sparrow
          Avatar of Cloudify
          Cloudify uses RabbitMQRabbitMQ

          The poster child for scalable messaging systems, RabbitMQ has been used in countless large scale systems as the messaging backbone of any large cluster, and has proven itself time and again in many production settings.

          Avatar of Chris Saylor
          Chris Saylor uses RabbitMQRabbitMQ

          Rabbit acts as our coordinator for all actions that happen during game time. All worker containers connect to rabbit in order to receive game events and emit their own events when applicable.

          Avatar of Clarabridge Engage
          Clarabridge Engage uses RabbitMQRabbitMQ

          Used as central Message Broker; off-loading tasks to be executed asynchronous, used as communication tool between different microservices, used as tool to handle peaks in incoming data, etc.

          Avatar of Analytical Informatics
          Analytical Informatics uses RabbitMQRabbitMQ

          RabbitMQ is the enterprise message bus for our platform, providing infrastructure for managing our ETL queues, real-time event notifications for applications, and audit logging.

          Avatar of Packet
          Packet uses RabbitMQRabbitMQ

          RabbitMQ is an all purpose queuing service for our stack. We use it for user facing jobs as well as keeping track of behind the scenes jobs.

          How much does RabbitMQ cost?
          How much does Sparrow cost?
          Pricing unavailable
          Pricing unavailable
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