Google Cloud Messaging vs RabbitMQ

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Google Cloud Messaging
Google Cloud Messaging

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Google Cloud Messaging vs RabbitMQ: What are the differences?

What is Google Cloud Messaging? Simple and reliable messaging to reach over a billion devices. Google Cloud Messaging (GCM) is a free service that enables developers to send messages between servers and client apps. This includes downstream messages from servers to client apps, and upstream messages from client apps to servers.

What is 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.

Google Cloud Messaging belongs to "Mobile Push Messaging" category of the tech stack, while RabbitMQ can be primarily classified under "Message Queue".

Some of the features offered by Google Cloud Messaging are:

  • Versatile Messaging Targets: Distribute messages to your client app in any of three ways — to single devices, to groups of devices, or to devices subscribed to topics.
  • Downstream Messaging: For purposes such as alerting users, chat messaging or kicking off background processing before the user opens the client app, GCM provides a reliable and battery-efficient connection between your server and devices.
  • Upstream Messaging: Send acknowledgments, chats, and other messages from devices back to your server over GCM’s reliable and battery-efficient connection channel.

On the other hand, RabbitMQ provides the following key features:

  • Robust messaging for applications
  • Easy to use
  • Runs on all major operating systems

"Free" is the top reason why over 6 developers like Google Cloud Messaging, while over 203 developers mention "It's fast and it works with good metrics/monitoring" as the leading cause for choosing RabbitMQ.

RabbitMQ is an open source tool with 5.95K GitHub stars and 1.78K GitHub forks. Here's a link to RabbitMQ's open source repository on GitHub.

According to the StackShare community, RabbitMQ has a broader approval, being mentioned in 941 company stacks & 551 developers stacks; compared to Google Cloud Messaging, which is listed in 18 company stacks and 8 developer stacks.

- No public GitHub repository available -

What is Google Cloud Messaging?

Google Cloud Messaging (GCM) is a free service that enables developers to send messages between servers and client apps. This includes downstream messages from servers to client apps, and upstream messages from client apps to servers.

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.
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Why do developers choose Google Cloud Messaging?
Why do developers choose RabbitMQ?

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    Jobs that mention Google Cloud Messaging and RabbitMQ as a desired skillset
    OneSignalOneSignal
    San Mateo, California
    OneSignalOneSignal
    San Mateo, California
    OneSignalOneSignal
    San Mateo, California
    OneSignalOneSignal
    San Mateo, California
    OneSignalOneSignal
    San Mateo, California
    OneSignalOneSignal
    San Mateo, California
    What companies use Google Cloud Messaging?
    What companies use RabbitMQ?

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    What tools integrate with Google Cloud Messaging?
    What tools integrate with RabbitMQ?

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    What are some alternatives to Google Cloud Messaging and RabbitMQ?
    Firebase
    Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
    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.
    Apple Push Notification Service
    It is the centerpiece of the remote notifications feature. It is a robust, secure, and highly efficient service for app developers to propagate information to iOS (and, indirectly, watchOS), tvOS, and macOS devices.
    MQTT
    It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.
    Firebase Cloud Messaging
    It is a cross-platform messaging solution that lets you reliably deliver messages at no cost. You can notify a client app that new email or other data is available to sync. You can send notification messages to drive user re-engagement and retention. For use cases such as instant messaging, a message can transfer a payload of up to 4KB to a client app.
    See all alternatives
    Decisions about Google Cloud Messaging and RabbitMQ
    James Cunningham
    James Cunningham
    Operations Engineer at Sentry · | 18 upvotes · 112K views
    atSentrySentry
    RabbitMQ
    RabbitMQ
    Celery
    Celery
    #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
    RabbitMQ
    RabbitMQ
    Kafka
    Kafka

    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 · 92.1K views
    atOSInetOSInet
    RabbitMQ
    RabbitMQ
    Beanstalkd
    Beanstalkd
    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 · 11.7K views
    atAlterEstateAlterEstate
    Django
    Django
    RabbitMQ
    RabbitMQ
    Celery
    Celery

    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 Google Cloud Messaging and RabbitMQ
    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 Google Cloud Messaging and RabbitMQ
    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 Google Cloud Messaging cost?
    How much does RabbitMQ cost?
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