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  5. Amazon MQ vs MQTT

Amazon MQ vs MQTT

OverviewDecisionsComparisonAlternatives

Overview

MQTT
MQTT
Stacks635
Followers577
Votes7
Amazon MQ
Amazon MQ
Stacks55
Followers325
Votes12

Amazon MQ vs MQTT: What are the differences?

Introduction

Amazon MQ is a fully managed message broker service that makes it easy to set up and operate message brokers in the cloud. MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for IoT devices to communicate over unreliable networks.

  1. Message Broker vs Protocol: Amazon MQ is a message broker service that provides a fully managed solution for handling messages, while MQTT is a messaging protocol that ensures reliable, low-bandwidth communication between IoT devices.
  2. Protocol Support: Amazon MQ supports various messaging protocols, including MQTT, while MQTT is specifically designed for lightweight, publish-subscribe messaging scenarios.
  3. Message Persistence: Amazon MQ stores messages durably by default, ensuring that messages are not lost in case of failures, while MQTT does not guarantee message persistence unless a reliable messaging infrastructure is implemented by the client.
  4. Scalability: Amazon MQ is a fully managed service that automatically scales resources to handle message traffic, while MQTT requires manual configuration and monitoring to scale efficiently.
  5. Security: Amazon MQ provides built-in security features, such as authentication, authorization, and encryption, to protect messages and ensure secure communication, while MQTT requires additional security measures to be implemented by the client, such as SSL/TLS encryption and authentication.
  6. Integration with Other Services: Amazon MQ can easily integrate with other AWS services, such as Amazon SNS, Amazon SQS, and AWS Lambda, providing a comprehensive messaging solution, whereas MQTT integration with other services may require additional middleware or custom development.

In Summary, Amazon MQ is a managed message broker service that supports various messaging protocols, including MQTT, while MQTT is a lightweight messaging protocol specifically designed for IoT devices, with additional considerations needed for scalability and security.

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Advice on MQTT, Amazon MQ

MITHIRIDI
MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceonAmazon SQSAmazon SQSAmazon MQAmazon MQ

I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.

Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.

303k views303k
Comments

Detailed Comparison

MQTT
MQTT
Amazon MQ
Amazon MQ

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.

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.

Statistics
Stacks
635
Stacks
55
Followers
577
Followers
325
Votes
7
Votes
12
Pros & Cons
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
Pros
  • 7
    Supports low IQ developers
  • 3
    Supports existing protocols (JMS, NMS, AMQP, STOMP, …)
  • 2
    Easy to migrate existing messaging service
Cons
  • 4
    Slow AF
Integrations
No integrations available
AWS IAM
AWS IAM
Amazon CloudWatch
Amazon CloudWatch
ActiveMQ
ActiveMQ

What are some alternatives to MQTT, Amazon MQ?

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.

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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