Amazon SQS Reviews

Name: Amazon SQS
Brand: Amazon Web Services (AWS)
Rating: 4.3 (30 reviews)

4.3 out of 5

30 reviews
93% willing to recommend

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.

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Amazon SQS is the #3 ranked solution in top Message Queue Software. PeerSpot users give Amazon SQS an average rating of 8.6 out of 10. Amazon SQS is most commonly compared to MuleSoft Anypoint Platform: Amazon SQS vs MuleSoft Anypoint Platform. Amazon SQS is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 19% of all views.

Helped 849,686 peers since 2012

Featured Amazon SQS reviews

Ariel Tarayants

A feature I would like to see in Amazon SQS is the ability to view the content of messages without removing them from the queue. Enhanced filtering on the messages would be beneficial, as currently one has to pull all messages out, filter the right one by code, and then re-insert the remaining messages. This solution is not effective with the FIFO queue.

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Hari Prakash Pokala

Senior Java Engineer at Centers for Medicare & Medicaid Services

I am using multiple services such as AWS Lambda, S3, EC2, ECS, and the SNS SQS services, along with QuickSight reports and some of the VPC concepts. We have an email notification system integrated with Spring Branch. Once a batch job completes, SNS and SQS trigger events, sending notification…

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Stepan Raichl

AWS Competency Lead at trask

There is room for improvement in the pricing, especially for the FIFO model. Although it's a great feature, I feel it is expensive for entry to mid-volumes. A better pricing policy with scaled pricing for higher volumes would be beneficial, as it would ease adoption for developers with light workloads. Additionally, SQS could enhance compatibility with enterprise software by integrating built-in connectors, similar to those available for Apache Kafka.

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Amazon SQS mindshare

As of May 2025, the mindshare of Amazon SQS in the Message Queue (MQ) Software category stands at 8.3%, down from 11.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Message Queue (MQ) Software

PeerResearch reports based on Amazon SQS reviews

Type	Title	Date
Category	Message Queue (MQ) Software	Apr 30, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 30, 2025	Download
Comparison	Amazon SQS vs IBM MQ	Apr 30, 2025	Download
Comparison	Amazon SQS vs ActiveMQ	Apr 30, 2025	Download
Comparison	Amazon SQS vs MuleSoft Anypoint Platform	Apr 30, 2025	Download

Title	Rating	Mindshare	Recommending
MuleSoft Anypoint Platform	4.0	9.5%	92%	58 interviews Add to research
IBM MQ	4.2	26.2%	94%	165 interviews Add to research

Valuable Features

Amazon SQS is valued for its scalability, reliability, and integration with AWS services like Lambda and EC2. Users appreciate its abilities for message handling, including FIFO queues, event-driven invocation, and dead-letter queues. It is user-friendly, cost-effective, with excellent documentation and support. SQS's message visibility, durability, high performance, and ease of setup are also notable. It enhances workflow resilience, decouples components, supports large-scale data, and ensures data retention up to 14 days.

"Overall, I would rate Amazon SQS as ten out of ten."
"The most valuable feature is the ability to decouple components."
"The scale it manages is quite impressive."

Room for Improvement

Amazon SQS needs improved documentation, enhanced telemetry, and on-premises availability. Its interface lacks user-friendliness and integration with legacy systems is limited. Pricing is high and retention periods are insufficient. Message size and latency issues persist, while the existing security measures need strengthening. The AWS Management Console requires better integration capabilities for seamless transitions. Users find the lack of push-based messaging and message content viewing without removal challenging. Enhanced logging, scalability, and UI improvements are necessary.

"The retention period for messages could be improved. Currently, messages are retained for four or seven days."
"The cost became an issue, leading us to consider other solutions."
"A primary area of improvement for Amazon SQS is the message size limitation, which is currently restricted to 256 kilobytes per message."

ROI

Amazon SQS demonstrates value by enhancing processing, improving client-side performance, and ensuring message integrity during spikes in usage. It offers significant returns despite higher upfront costs. Users benefit from increased productivity and reduced man-hour expenses, allowing focus on essential tasks. Infrastructure reliability is improved, avoiding disruptions via DLQs and SNS. While cost is a concern, SQS contributes positively to programming and overall system integrity, proving its effectiveness in handling client requests efficiently.

Pricing

Amazon SQS is generally viewed as cost-effective by enterprise users due to its pay-as-you-go model. Many users appreciate the free tier, offering the first million requests free each month, with subsequent requests costing 40 cents per million. Feedback is mixed; while some find it moderately priced and cheaper than alternatives, others indicate that costs can escalate with high volume or scalability. Nonetheless, its pricing is often rated positively.

"Amazon SQS offers a generous free tier, beyond which it remains very cost-effective. The cost per million messages is less than a dollar, making it an economical choice."
"Compared to the other options and based on what I have heard, Amazon SQS is relatively more expensive, but it is not insanely expensive."
"Compared to EC2 and other services, Amazon SQS' pricing is cheaper."

Popular Use Cases

Amazon SQS is primarily used for event-driven messaging, decoupling applications, and achieving asynchronous communication. Users employ it to collect event data for analytics, integrate diverse applications, trigger resources like Lambda and API Gateway, manage retries, and process notifications. It's favored for use in microservices and distributed systems for message queuing, ensuring reliable communication, handling large volumes of messages, and enabling efficient task execution across various industries.

Service and Support

Amazon SQS customer service presents mixed experiences. Some users find the technical support responsive and knowledgeable, rating it highly, especially with enterprise models. However, others mention costly support, slow response times, and inconsistent service. Many rely on rich documentation and simple components, reducing the need for direct assistance. Feedback highlights significant discrepancies in support quality depending on user payment levels, with smaller clients feeling neglected compared to those investing in higher-tier services.

Deployment

Amazon SQS's initial setup is often described as simple and straightforward. Users find it easy to deploy and configure, often taking only a few hours with the help of detailed documentation. Familiarity with AWS services enhances the process, and while security considerations may extend deployment time, most users agree it is manageable. Experience levels affect the perceived difficulty, but once understood, SQS is generally implemented with minimal hassle.

Scalability

Amazon SQS demonstrates high scalability, with users noting its ability to handle large message volumes efficiently. It scales both horizontally and vertically without issues, accommodating various needs in cloud applications. Users appreciate its integration with AWS services and capability to manage peak workloads. However, some emphasize that configuration might be necessary to address usage limitations and message duplicates. Despite minor considerations, organizations successfully utilize Amazon SQS for scalable, stable performance.

Stability

Users consistently find Amazon SQS very stable, with many rating its stability as high as nine or ten out of ten. Most have not encountered significant issues, citing no performance or stability problems, and praise its ability to handle loads effectively. Some mention potential for improvement or rare but insignificant issues such as message delivery timing. Users appreciate its reliability compared to other services like RabbitMQ, ActiveMQ, and Kafka, noting it requires less maintenance.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon SQS Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

19%

Financial Services Firm

16%

Manufacturing Company

11%

Comms Service Provider

Healthcare Company

Educational Organization

Insurance Company

Media Company

Retailer

University

Real Estate/Law Firm

Government

Construction Company

Pharma/Biotech Company

Hospitality Company

Energy/Utilities Company

Non Profit

Wholesaler/Distributor

Transportation Company

Legal Firm

Recreational Facilities/Services Company

Engineering Company

Performing Arts

Aerospace/Defense Firm

Marketing Services Firm

Compare Amazon SQS with alternative products

Learn more about Amazon SQS

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.