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  5. MQTT vs REST

MQTT vs REST

OverviewComparisonAlternatives

Overview

REST
REST
Stacks239
Followers198
Votes0
MQTT
MQTT
Stacks635
Followers577
Votes7

MQTT vs REST: What are the differences?

Introduction

In this article, we will discuss the key differences between MQTT and REST protocols. MQTT (Message Queuing Telemetry Transport) and REST (Representational State Transfer) are both widely used in the field of Internet of Things (IoT) and play different roles in enabling communication between devices and systems.

  1. Protocol design: MQTT is a publish-subscribe messaging protocol, while REST is an architectural style. MQTT follows a lightweight design and is optimized for constrained devices and high-latency networks. On the other hand, REST uses standard HTTP methods (GET, POST, PUT, DELETE) for communication and can be implemented over any network protocol.

  2. Communication pattern: MQTT uses a publish-subscribe communication pattern, where clients (publishers) send messages to topics and other clients (subscribers) receive those messages by subscribing to those topics. In contrast, REST follows a client-server communication pattern, where clients send requests to servers and get responses back.

  3. Statelessness: REST is stateless, meaning that each request from the client to the server should contain all the necessary information for the server to understand and process the request. On the other hand, MQTT supports session management and can maintain stateful connections between clients and brokers.

  4. Message size and overhead: MQTT is designed to be lightweight and efficient, making it ideal for low-bandwidth or unreliable networks. It has a small message overhead and allows for smaller payload sizes. In contrast, REST messages typically have more overhead due to the use of HTTP headers and require larger message sizes.

  5. Quality of Service (QoS) levels: MQTT provides different levels of Quality of Service to ensure message delivery reliability, including QoS 0 (at most once), QoS 1 (at least once), and QoS 2 (exactly once). REST does not provide built-in QoS mechanisms and relies on the underlying HTTP protocol for reliability.

  6. Scalability and resource usage: MQTT is designed to handle a large number of connected clients efficiently, making it a good choice for scalable IoT deployments. REST may require more server resources to handle a high number of concurrent connections and requests.

In summary, MQTT is a lightweight publish-subscribe messaging protocol optimized for constrained devices and networks, while REST is an architectural style based on client-server communication over standard HTTP methods. MQTT supports stateful connections, has lower message overhead, provides QoS levels, and is more scalable, while REST is stateless, has higher message overhead, and relies on the underlying HTTP protocol for reliability.

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Detailed Comparison

REST
REST
MQTT
MQTT

An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.

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.

Statistics
Stacks
239
Stacks
635
Followers
198
Followers
577
Votes
0
Votes
7
Pros & Cons
Pros
  • 4
    Popularity
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

What are some alternatives to REST, MQTT?

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.

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.

gRPC

gRPC

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

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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