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  5. Firebase Cloud Messaging vs MQTT

Firebase Cloud Messaging vs MQTT

OverviewComparisonAlternatives

Overview

MQTT
MQTT
Stacks637
Followers577
Votes7
Firebase Cloud Messaging
Firebase Cloud Messaging
Stacks284
Followers389
Votes18

Firebase Cloud Messaging vs MQTT: What are the differences?

Introduction

Firebase Cloud Messaging (FCM) and MQTT are both widely used messaging protocols in the field of real-time communication. While they serve similar purposes, there are key differences between the two that make them suitable for different use cases.

  1. Payload Format: In Firebase Cloud Messaging, the payload format is limited to JSON, allowing for structured and nested data. On the other hand, MQTT supports various payload formats including JSON, plain text, and binary data, providing more flexibility in data representation.

  2. Message Routing: FCM uses a topic-based model for message routing, where messages are sent to specific topics that clients can subscribe to. MQTT, on the other hand, uses a publish-subscribe model, where clients subscribe to specific topics and receive messages published on those topics. This subtle difference in message routing mechanisms can impact the architecture and scalability of the messaging system.

  3. Persistence: FCM provides persistence for undelivered messages, meaning that if a device is offline at the time of message sending, the message will be stored and delivered when the device comes online. MQTT, on the other hand, does not provide built-in persistence, requiring additional implementation to handle offline messages.

  4. Bidirectional Communication: MQTT enables bidirectional communication between clients and the server through the use of both publish and subscribe operations. This allows devices to both send and receive messages without the need for constant polling. FCM primarily focuses on server-to-client push notifications, with limited support for bidirectional communication.

  5. Built-in Authentication and Authorization: Firebase Cloud Messaging provides built-in authentication and access control mechanisms, allowing for secure and controlled access to the messaging service. MQTT, in contrast, does not have these features built-in and requires additional implementation and integration with authentication systems.

  6. Scalability and Performance: FCM is a cloud-based messaging service provided by Firebase, which offers high scalability and reliability. MQTT, being a lightweight messaging protocol, is designed to be highly efficient and suitable for resource-constrained devices. The choice between FCM and MQTT depends on the specific scalability and performance requirements of the application.

In summary, Firebase Cloud Messaging and MQTT differ in payload format, message routing, persistence, bidirectional communication, authentication, and scalability. The choice between the two depends on the specific needs of the application in terms of data representation, messaging architecture, offline message handling, bidirectional communication, security, and scalability.

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Detailed Comparison

MQTT
MQTT
Firebase Cloud Messaging
Firebase Cloud Messaging

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.

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.

Statistics
Stacks
637
Stacks
284
Followers
577
Followers
389
Votes
7
Votes
18
Pros & Cons
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Lightweight with a relatively small data footprint
  • 2
    Very easy to configure and use with open source tools
Cons
  • 1
    Easy to configure in an unsecure manner
Pros
  • 18
    Free
Cons
  • 8
    Lack of BI tools

What are some alternatives to MQTT, 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.

RabbitMQ

RabbitMQ

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

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.

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