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  1. Stackups
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  5. Firebase Cloud Messaging vs RabbitMQ

Firebase Cloud Messaging vs RabbitMQ

OverviewComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Firebase Cloud Messaging
Firebase Cloud Messaging
Stacks284
Followers389
Votes18

Firebase Cloud Messaging vs RabbitMQ: What are the differences?

Introduction

Firebase Cloud Messaging (FCM) and RabbitMQ are two popular messaging systems used for real-time communication between applications. While both serve the purpose of facilitating message exchange, they differ in several key aspects.

  1. Scalability and Performance: Firebase Cloud Messaging is a cloud-based messaging service provided by Google, designed to handle high volumes of messages and scale according to the application's needs. It leverages Google Cloud Platform's infrastructure to ensure efficient message delivery with low latency. On the other hand, RabbitMQ is an open-source message broker that can be deployed on-premises or in the cloud. It offers high scalability but still relies on the underlying infrastructure for performance optimization.

  2. Message Protocols: FCM primarily uses HTTP and XMPP protocols for message transmission. It provides a simple and straightforward REST API for sending messages and supports XMPP for real-time messaging. RabbitMQ, on the other hand, uses the Advanced Message Queuing Protocol (AMQP) as its primary messaging protocol. AMQP is a standardized protocol that provides features like reliable message delivery, message acknowledgement, and flow control.

  3. Messaging Paradigm: FCM follows a push notification model, making it suitable for sending notifications to mobile devices and web browsers. It supports device-specific targeting, allowing developers to send messages to a specific group of users. RabbitMQ, on the other hand, follows a pub/sub or message queue model. It enables decoupling of applications, where producers publish messages to specific queues, and consumers consume messages from those queues.

  4. Message Persistence: In FCM, messages are not persisted by default, and if the intended device is offline, the message might not be delivered. However, FCM provides a mechanism called "Device group messaging" that allows messages to be stored on Google's servers and delivered when the device comes online. RabbitMQ, on the other hand, is designed to persist messages until they are successfully delivered to the consumers. It provides reliable message queues that can survive system failures.

  5. Fault Tolerance and Durability: FCM ensures fault tolerance by replicating messages across multiple data centers. In case of failures, it automatically reroutes messages to available servers, minimizing message loss. However, FCM does not guarantee durability, as messages are not persisted by default. RabbitMQ, on the other hand, ensures both fault tolerance and durability by persisting messages in a durable storage backend.

  6. Infrastructure Management: FCM is a managed service provided by Google, which means that infrastructure management tasks like scaling, patching, and monitoring are taken care of by the platform. RabbitMQ, being an open-source message broker, requires manual management and configuration. It can be deployed on various infrastructure setups, requiring the user to handle the infrastructure management tasks.

In summary, Firebase Cloud Messaging (FCM) and RabbitMQ differ in their scalability and performance, message protocols, messaging paradigm, message persistence, fault tolerance and durability mechanisms, and infrastructure management approaches. They cater to different use cases and demonstrate varying strengths in the realm of messaging systems.

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Detailed Comparison

RabbitMQ
RabbitMQ
Firebase Cloud Messaging
Firebase Cloud Messaging

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

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.

Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
-
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
284
Followers
18.9K
Followers
389
Votes
558
Votes
18
Pros & Cons
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow
Pros
  • 18
    Free
Cons
  • 8
    Lack of BI tools

What are some alternatives to RabbitMQ, Firebase Cloud Messaging?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Celery

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.

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

OneSignal

OneSignal

OneSignal is a high volume push notification service for websites and mobile applications. OneSignal supports all major native and mobile platforms by providing dedicated SDKs for each platform, a RESTful server API, and a dashboard.

ActiveMQ

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

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.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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