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What is Amazon SQS?

Featured Amazon SQS reviews

Amazon SQS mindshare

As of September 2025, the mindshare of Amazon SQS in the Message Queue (MQ) Software category stands at 7.9%, down from 10.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Message Queue (MQ) Software Market Share Distribution
ProductMarket Share (%)
Amazon SQS7.9%
IBM MQ25.9%
ActiveMQ25.4%
Other40.800000000000004%
Message Queue (MQ) Software

PeerResearch reports based on Amazon SQS reviews

TypeTitleDate
CategoryMessage Queue (MQ) SoftwareSep 15, 2025Download
ProductReviews, tips, and advice from real usersSep 15, 2025Download
ComparisonAmazon SQS vs IBM MQSep 15, 2025Download
ComparisonAmazon SQS vs ActiveMQSep 15, 2025Download
ComparisonAmazon SQS vs MuleSoft Anypoint PlatformSep 15, 2025Download
Suggested products
TitleRatingMindshareRecommending
MuleSoft Anypoint Platform4.08.4%92%59 interviewsAdd to research
IBM MQ4.225.9%94%170 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business12
Midsize Enterprise4
Large Enterprise13
By reviewers
By visitors reading reviews
Company SizeCount
Small Business120
Midsize Enterprise102
Large Enterprise268
By visitors reading reviews

Top industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
15%
Comms Service Provider
9%
Manufacturing Company
8%
Educational Organization
6%
Healthcare Company
4%
University
4%
Retailer
3%
Media Company
3%
Construction Company
3%
Insurance Company
3%
Real Estate/Law Firm
2%
Pharma/Biotech Company
2%
Hospitality Company
2%
Energy/Utilities Company
2%
Recreational Facilities/Services Company
2%
Legal Firm
2%
Performing Arts
1%
Non Profit
1%
Wholesaler/Distributor
1%
Government
1%
Transportation Company
1%
Outsourcing Company
1%

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Amazon SQS customers

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Amazon SQS Reviews Summary
Author infoRatingReview Summary
IT Specialist 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 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.
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.
AWS Academy Accredited Instructor - ACF & CCA at APU4.5No summary available
AWS Architect at a computer software company with 501-1,000 employees4.5I've used Amazon SQS for over four years in serverless, decoupled solutions. SQS excels in handling large data scales and integrates well with other AWS services. However, it has a message size limit and uses a pull-based system.
AWS Authorized Instructor at Next Step Foundation4.5No summary available