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Amazon SQS OverviewUNIXBusinessApplication

Amazon SQS is #6 ranked solution in top Message Queue Software. IT Central Station users give Amazon SQS an average rating of 8 out of 10. Amazon SQS is most commonly compared to Amazon MQ:Amazon SQS vs Amazon MQ. The top industry researching this solution are professionals from a computer software company, accounting for 30% of all views.
What is Amazon SQS?

Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.

SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.

Buyer's Guide

Download the Message Queue (MQ) Software Buyer's Guide including reviews and more. Updated: November 2021

Amazon SQS Customers

EMS, NASA, BMW, Capital One

Amazon SQS Video

Pricing Advice

What users are saying about Amazon SQS pricing:
  • "Amazon SQS is more affordable compared to other solutions."

Amazon SQS Reviews

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Hugo De Paula
Professor at Remo Engenharia
Real User
Top 10
An affordable, easy-to-scale solution that is simple to deploy and maintain

What is our primary use case?

The primary use case of this solution is for collecting event data for analytic purposes. In our case, when a user selects a function in our app, the information is collected. Analytics is performed on the data to determine the functionalities that clients use the most.  Additionally, the data can tell us the most popular service demands such that resources can be assigned accordingly.

What needs improvement?

Documentation of this solution can be improved. Sometimes, the images in the document are from older versions.  

For how long have I used the solution?

I have been using this solution for three years.

What do I think about the stability of the solution?

We have never had a problem with the stability of the solution.

What do I think

What is our primary use case?

The primary use case of this solution is for collecting event data for analytic purposes.

In our case, when a user selects a function in our app, the information is collected. Analytics is performed on the data to determine the functionalities that clients use the most. 

Additionally, the data can tell us the most popular service demands such that resources can be assigned accordingly.

What needs improvement?

Documentation of this solution can be improved. Sometimes, the images in the document are from older versions.
 

For how long have I used the solution?

I have been using this solution for three years.

What do I think about the stability of the solution?

We have never had a problem with the stability of the solution.

What do I think about the scalability of the solution?

The solution is easy to scale and cost-effective.

How was the initial setup?

The profile management of this solution is difficult to set up. 

However, after the initial setup, it is easy to deploy, maintain, and test.

What other advice do I have?

The security of a cloud solution is very important and attention must be given to profile management, key generation, and key protection.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Message Queue (MQ) Software
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