Amazon SQS vs Mosquitto

Overview

Amazon SQS

Stacks2.8K

Followers2.0K

Votes171

Mosquitto

Stacks136

Followers306

Votes14

Amazon SQS vs Mosquitto: What are the differences?

Introduction

In this article, we will discuss the key differences between Amazon Simple Queue Service (SQS) and Mosquitto, focusing on their unique features and capabilities.

Message Protocols and Standards: One of the primary differences between Amazon SQS and Mosquitto is the messaging protocol they use. Amazon SQS is based on HTTP/HTTPS protocols, making it easy to integrate with a variety of applications over the internet. On the other hand, Mosquitto is based on the MQTT (Message Queuing Telemetry Transport) protocol, which is lightweight and specifically designed for IoT devices and low-bandwidth networks.
Scalability and Managed Service: Amazon SQS is a fully managed service provided by Amazon Web Services (AWS), which means it handles most of the operational tasks such as scaling, monitoring, and maintaining the infrastructure. It can scale seamlessly to handle a large number of messages and provides high availability and durability. Conversely, Mosquitto is an open-source message broker that can be self-hosted, requiring manual scaling and maintenance.
Supported Environments: Amazon SQS is a cloud-based messaging service that can be used in any environment, including web applications, mobile apps, and serverless architectures, regardless of the underlying infrastructure. Mosquitto, being an open-source project, can be deployed on-premises or in the cloud but requires more configuration and setup.
Message Delivery Semantics: Amazon SQS guarantees at-least-once message delivery, where each message is delivered to the consumer at least once, ensuring that no message is lost. It provides features like visibility timeout and message retention to ensure reliable message processing. Mosquitto, on the other hand, provides three different levels of message delivery: "at most once," "at least once," and "exactly once," allowing users to choose the appropriate level of reliability based on their requirements.
Message Filtering and Routing: Amazon SQS provides a feature called "message filtering," allowing consumers to selectively receive only the messages that match specific filter conditions. This helps in reducing the overhead of processing unwanted messages. Mosquitto, being an MQTT broker, supports its own set of filtering mechanisms such as topic-based filtering, which enables subscribers to subscribe to specific topics and receive relevant messages only.
Integration with Other AWS Services: As part of the AWS ecosystem, Amazon SQS seamlessly integrates with other services like AWS Lambda, Amazon S3, and Amazon DynamoDB. This enables developers to easily build complex, scalable architectures using these services in conjunction with SQS. Mosquitto, being a standalone message broker, does not have native integrations with other AWS services and requires additional custom development for integration.

In summary, Amazon SQS is a managed messaging service that offers scalable and reliable messaging over HTTP/HTTPS, while Mosquitto is an open-source MQTT broker specifically designed for IoT devices. SQS provides ease of use, scalability, and integration with other AWS services, whereas Mosquitto offers lightweight messaging and is ideal for low-bandwidth networks and IoT use cases.

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Advice on Amazon SQS, Mosquitto

MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceon

Amazon SQS

Amazon 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.

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Comments

Detailed Comparison

Amazon SQS	Mosquitto
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.	It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.
A queue can be created in any region.;The message payload can contain up to 256KB of text in any format. Each 64KB ‘chunk’ of payload is billed as 1 request. For example, a single API call with a 256KB payload will be billed as four requests.;Messages can be sent, received or deleted in batches of up to 10 messages or 256KB. Batches cost the same amount as single messages, meaning SQS can be even more cost effective for customers that use batching.;Long polling reduces extraneous polling to help you minimize cost while receiving new messages as quickly as possible. When your queue is empty, long-poll requests wait up to 20 seconds for the next message to arrive. Long poll requests cost the same amount as regular requests.;Messages can be retained in queues for up to 14 days.;Messages can be sent and read simultaneously.;Developers can get started with Amazon SQS by using only five APIs: CreateQueue, SendMessage, ReceiveMessage, ChangeMessageVisibility, and DeleteMessage. Additional APIs are available to provide advanced functionality.	-
Statistics
Stacks 2.8K	Stacks 136
Followers 2.0K	Followers 306
Votes 171	Votes 14
Pros & Cons
Pros 62 Easy to use, reliable 40 Low cost 28 Simple 14 Doesn't need to maintain it 8 It is Serverless Cons 2 Has a max message size (currently 256K) 2 Difficult to configure 2 Proprietary 1 Has a maximum 15 minutes of delayed messages only	Pros 10 Simple and light 4 Performance

What are some alternatives to Amazon SQS, Mosquitto?

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

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.

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

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

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

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 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

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

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

Related Comparisons

Amazon SQS vs Mosquitto: What are the differences?

Introduction

In this article, we will discuss the key differences between Amazon Simple Queue Service (SQS) and Mosquitto, focusing on their unique features and capabilities.

Message Protocols and Standards: One of the primary differences between Amazon SQS and Mosquitto is the messaging protocol they use. Amazon SQS is based on HTTP/HTTPS protocols, making it easy to integrate with a variety of applications over the internet. On the other hand, Mosquitto is based on the MQTT (Message Queuing Telemetry Transport) protocol, which is lightweight and specifically designed for IoT devices and low-bandwidth networks.
Scalability and Managed Service: Amazon SQS is a fully managed service provided by Amazon Web Services (AWS), which means it handles most of the operational tasks such as scaling, monitoring, and maintaining the infrastructure. It can scale seamlessly to handle a large number of messages and provides high availability and durability. Conversely, Mosquitto is an open-source message broker that can be self-hosted, requiring manual scaling and maintenance.
Supported Environments: Amazon SQS is a cloud-based messaging service that can be used in any environment, including web applications, mobile apps, and serverless architectures, regardless of the underlying infrastructure. Mosquitto, being an open-source project, can be deployed on-premises or in the cloud but requires more configuration and setup.
Message Delivery Semantics: Amazon SQS guarantees at-least-once message delivery, where each message is delivered to the consumer at least once, ensuring that no message is lost. It provides features like visibility timeout and message retention to ensure reliable message processing. Mosquitto, on the other hand, provides three different levels of message delivery: "at most once," "at least once," and "exactly once," allowing users to choose the appropriate level of reliability based on their requirements.
Message Filtering and Routing: Amazon SQS provides a feature called "message filtering," allowing consumers to selectively receive only the messages that match specific filter conditions. This helps in reducing the overhead of processing unwanted messages. Mosquitto, being an MQTT broker, supports its own set of filtering mechanisms such as topic-based filtering, which enables subscribers to subscribe to specific topics and receive relevant messages only.
Integration with Other AWS Services: As part of the AWS ecosystem, Amazon SQS seamlessly integrates with other services like AWS Lambda, Amazon S3, and Amazon DynamoDB. This enables developers to easily build complex, scalable architectures using these services in conjunction with SQS. Mosquitto, being a standalone message broker, does not have native integrations with other AWS services and requires additional custom development for integration.

Amazon SQS vs Mosquitto

Overview

Amazon SQS vs Mosquitto: What are the differences?