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Amazon SQS Reviews

Vendor: Amazon Web Services (AWS)
4.3 out of 5
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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 51% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 20% of all views.
Buyer's Guide
Amazon SQS
February 2026
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Amazon SQS mindshare

As of February 2026, the mindshare of Amazon SQS in the Message Queue (MQ) Software category stands at 7.6%, down from 9.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Message Queue (MQ) Software Market Share Distribution
ProductMarket Share (%)
Amazon SQS7.6%
IBM MQ22.9%
ActiveMQ22.4%
Other47.1%
Message Queue (MQ) Software

PeerResearch reports based on Amazon SQS reviews

TypeTitleDate
CategoryMessage Queue (MQ) SoftwareFeb 8, 2026Download
ProductReviews, tips, and advice from real usersFeb 8, 2026Download
ComparisonAmazon SQS vs IBM MQFeb 8, 2026Download
ComparisonAmazon SQS vs ActiveMQFeb 8, 2026Download
ComparisonAmazon SQS vs MuleSoft Anypoint PlatformFeb 8, 2026Download
Suggested products
TitleRatingMindshareRecommending
MuleSoft Anypoint Platform4.07.3%92%60 interviewsAdd to research
IBM MQ4.222.9%94%174 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Amazon SQS offers numerous benefits including its ease of use, allowing simple setup and integration. Users value features like standard and FIFO queues, scalability, message durability, dead-letter queues, and integration with AWS services such as EC2 and Lambda. SQS supports high message throughput, ensuring reliability and effective error handling. Its capability of managing large-scale data and decoupling components is praised, with functionalities that enhance system resilience and communication efficiency.
  • "The most valuable feature for me is the variety of queues offered, such as the standard and FIFO queues, providing reliable communication."
  • "If we compare with other solutions such as RabbitMQ for messaging, Amazon SQS is easier to use and easier to create the queue."
  • "Overall, I would rate Amazon SQS as ten out of ten."

Room for Improvement

Amazon SQS requires improved documentation and dashboard integration for better observability and management. Connectivity, integration with legacy systems, and telemetry support should be enhanced. Cost transparency needs improvement. Enhancing message ordering, real-time streaming, performance, scalability, and message size limitations is essential. Security and UI require enhancements for seamless use. Improved compatibility with enterprise software and advanced filtering features are also necessary. Most users find that pricing and retention period improvements would aid adoption.
  • "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 offers valuable returns despite higher initial costs. Its cloud-based setup yields better returns for users but varies by situation. Users noted improved systems due to reliable programming capabilities with SQS, reducing headaches and enhancing integrity. Client-side performance and satisfaction are enhanced with effective request processing. SQS excels in managing user spikes, maintaining message integrity, and optimizing workflows. Increased productivity and reduced man-hour costs are observed as resources focus on primary tasks without managing the service.

Pricing

Amazon SQS is considered cost-effective with a pay-as-you-use model. It offers a generous free tier of one million requests monthly, with subsequent requests costing around 40 cents per million. However, some users find it comparatively expensive, especially at higher message volumes. Pricing details are publicly available on AWS, and the service is perceived as moderately priced, rated highly for affordability but potentially expensive when usage scales significantly.
  • "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

Users primarily employ Amazon SQS for asynchronous messaging, event-driven processes, and integration between diverse applications. It efficiently manages task queues, allowing communication between microservices and aiding in decoupling systems. Amazon SQS handles large volumes of messages, ensures reliable message delivery, and is crucial for retries and dead-letter queues. Common applications include analytics data collection, distributed workflows, and message-triggered resource activation in cloud environments.

Service and Support

Amazon SQS support shows mixed responses. Some find it satisfactory with prompt, knowledgeable assistance, while others note inconsistency and high support costs. Rich documentation often reduces the need for direct support. Those using enterprise-level plans report quick response times. General feedback suggests that the quality varies based on the level of support paid for. Some users appreciate the support team’s understanding and troubleshooting skills, but others feel better response times are needed.

Deployment

Setup for Amazon SQS is generally straightforward and quick, often taking less than a day. Users find it simple if they have AWS experience. Security considerations are important, but comprehensive documentation supports ease. Quotas might need attention, but AWS addresses requests quickly. Resources are manageable through consoles and tools like Terraform. Some learning curve exists for AWS navigation and configuration. Despite this, once initial setup is complete, users find it easy to run.

Scalability

Amazon SQS is highly scalable, efficiently supporting high volumes and varying loads across multiple regions. Users report it handles big data effortlessly and integrates well with AWS services. Its automatic management capability ensures message handling without issues, even during peak periods. Despite its remarkable scalability, it suits cloud applications better than on-premises scenarios. While Amazon SQS excels in scalability, users mention potential issues with message duplicates and sequence when managing multiple producers and consumers.

Stability

Amazon SQS is highly stable with users frequently rating its stability between 8 to 10 out of ten. While some report occasional issues like freezing or delayed packages, most consider it reliable and adept at maintaining data integrity. The service is praised for being a mature, regional service not dependent on single points of failure. Users highlight its stability compared to other solutions, appreciating the minimal need for maintenance and absence of corrupted messages or downtime.
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
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise13
By reviewers
By visitors reading reviews
Company SizeCount
Small Business90
Midsize Enterprise92
Large Enterprise193
By visitors reading reviews

Top industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
13%
Comms Service Provider
9%
Manufacturing Company
8%
Educational Organization
5%
University
4%
Media Company
3%
Healthcare Company
3%
Retailer
3%
Insurance Company
2%
Marketing Services Firm
2%
Performing Arts
2%
Hospitality Company
2%
Outsourcing Company
2%
Pharma/Biotech Company
2%
Construction Company
2%
Real Estate/Law Firm
2%
Legal Firm
2%
Recreational Facilities/Services Company
2%
Energy/Utilities Company
2%
Non Profit
2%
Wholesaler/Distributor
1%
Transportation Company
1%
Government
1%
Logistics Company
1%
Aerospace/Defense Firm
1%
Consumer Goods Company
1%

Compare Amazon SQS with alternative products

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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.

Amazon SQS customers

EMS, NASA, BMW, Capital One

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Product Categories

Product Categories
Message Queue (MQ) Software

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Amazon SQS Reviews Summary
Author infoRatingReview Summary
IT Specialist at a financial services firm with 51-200 employees5.0I primarily use Amazon SQS for asynchronous messaging in our distributed system. Its data retention, message durability, and queue generation features are valuable. Compared to RabbitMQ and ActiveMQ, SQS offers better reliability and reduced management overhead, enhancing productivity.
Senior Data & AI Engineer at Imprint5.0I find Amazon SQS easy to use, highly stable, and effortlessly scalable. It's simpler than alternatives like RabbitMQ, requires little management, and comes with great customer support. I confidently rate it a 10 and recommend it.
Senior Cloud Engineer - AWS at Bytedance3.5I have been using Amazon SQS for ten years as part of AWS for asynchronous data transitions between systems. Its event-driven invocation is valuable. However, its handling of large-scale data could improve, especially compared to Kinesis.
Senior Java Engineer at Centers for Medicare & Medicaid Services3.5I use AWS services like Lambda, S3, EC2, ECS, and SNS SQS for tasks like our email notification system. I find AWS Lambda, ECS, and QuickSight valuable, but I believe integrating Kafka could improve data streaming flexibility.
DevOps and Software Developer at Mettpay5.0I've been using Amazon SQS for over three years on AWS. The excellent documentation helps in setup and scaling, but support could be improved. There's no need to worry about licenses as Amazon SQS manages scalability efficiently.
AWS Competency Lead at trask4.5I use Amazon SQS to synchronize logistics and customer orders with its scalability, availability, and cost-effectiveness. While the FIFO pricing could improve, SQS remains a favored choice over RabbitMQ in Europe, though some prefer Apache Kafka for compatibility.
Senior DevOps Engineer | AWS | Kubernetes | Terraform | CICD | Cyber Security Specialist at a tech services company with 11-50 employees5.0I use Amazon SQS to decouple applications by converting monoliths into microservices, leveraging its scalability and FIFO queue for message order. However, I wish it allowed viewing message content without removing it from the queue.
Product Development Engineer at Razorpay5.0We use Amazon SQS within our company's microservices for reliable retries and workflow continuity, especially during third-party service downtime. It's easy to manage and integrate, though AWS Management Console could improve seamless migration from solutions like Apache Kafka.