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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Realtime Backend API
  5. MQTT vs NATS

MQTT vs NATS

OverviewComparisonAlternatives

Overview

NATS
NATS
Stacks394
Followers498
Votes60
MQTT
MQTT
Stacks637
Followers577
Votes7

MQTT vs NATS: What are the differences?

Introduction

MQTT and NATS are both messaging protocols commonly used for communication between devices and systems. While they have similarities, there are several key differences between the two.

  1. Transport Protocol: MQTT uses TCP/IP as its underlying transport protocol, which ensures reliable and ordered delivery of messages. In contrast, NATS can work with multiple transport protocols, including TCP/IP, UDP, and WebSockets, allowing flexibility in choosing the most suitable transport for a particular use case.

  2. Messaging Patterns: MQTT supports publish-subscribe messaging pattern, where clients can publish messages to specific topics and other clients can subscribe to those topics to receive the messages. In addition to publish-subscribe, NATS also supports request-reply messaging pattern, where clients can make RPC-like requests and receive responses from other clients.

  3. Message Queueing: NATS provides built-in support for message queueing, allowing multiple subscribers to receive a message from a subject (topic) in a distributed manner. MQTT, on the other hand, does not have built-in support for message queueing, and clients need to implement their own mechanisms for message distribution and load balancing.

  4. Security: MQTT supports a wide range of security options, including authentication, access control, and message encryption. NATS also provides similar security features but puts more emphasis on simplicity and performance, making it easier and faster to secure the communication.

  5. Scalability: NATS is designed to be highly scalable, capable of handling millions of messages per second with low latency. It achieves this scalability through its lightweight protocol and simple architecture. While MQTT can also scale well, it may require additional effort and optimizations to handle high message volumes efficiently.

  6. Ecosystem and Integrations: MQTT has a mature ecosystem with support from various platforms and frameworks, making it a popular choice for IoT applications. NATS, although less widely adopted, has a growing ecosystem with integrations across different programming languages and frameworks, particularly in the cloud-native and microservices space.

In summary, MQTT and NATS differ in their transport protocol, messaging patterns, message queueing capabilities, security features, scalability, and ecosystem. Choose MQTT for reliable and ordered message delivery with strong IoT support, while NATS offers flexibility, simplicity, and high scalability for cloud-native and microservices architectures.

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Detailed Comparison

NATS
NATS
MQTT
MQTT

Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

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
394
Stacks
637
Followers
498
Followers
577
Votes
60
Votes
7
Pros & Cons
Pros
  • 22
    Fastest pub-sub system out there
  • 16
    Rock solid
  • 12
    Easy to grasp
  • 4
    Easy, Fast, Secure
  • 4
    Light-weight
Cons
  • 2
    Persistence with Jetstream supported
  • 1
    No Persistence
  • 1
    No Order
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Very easy to configure and use with open source tools
  • 2
    Lightweight with a relatively small data footprint
Cons
  • 1
    Easy to configure in an unsecure manner

What are some alternatives to NATS, MQTT?

Firebase

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.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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.

PubNub

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

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.

SignalR

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.

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