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Helped 865,985 peers since 2012

Featured Amazon Q reviews

PeerResearch reports based on Amazon Q reviews

TypeTitleDate
CategoryAI Code AssistantsAug 27, 2025Download
ProductReviews, tips, and advice from real usersAug 27, 2025Download
ComparisonAmazon Q vs GitHub CoPilotAug 27, 2025Download
ComparisonAmazon Q vs Google Gemini AIAug 27, 2025Download
Suggested products
TitleRatingMindshareRecommending
Cursor0.030.3%0%0 interviewsAdd to research
GitHub CoPilot4.16.6%96%28 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise11
By reviewers
By visitors reading reviews
Company SizeCount
Small Business66
Midsize Enterprise25
Large Enterprise123
By visitors reading reviews

Top industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
10%
Manufacturing Company
8%
Comms Service Provider
6%
Performing Arts
6%
Transportation Company
5%
University
5%
Recreational Facilities/Services Company
5%
Energy/Utilities Company
4%
Retailer
3%
Media Company
3%
Healthcare Company
3%
Insurance Company
3%
Outsourcing Company
3%
Educational Organization
2%
Government
2%
Real Estate/Law Firm
2%
Hospitality Company
2%
Legal Firm
1%
Pharma/Biotech Company
1%
Consumer Goods Company
1%
Marketing Services Firm
1%
Leisure / Travel Company
1%
Non Profit
1%
Construction Company
1%

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Amazon Q Reviews Summary
Author infoRatingReview Summary
Associate Software Engineer4.5I used Amazon Q for document search and QA tasks; it's accurate, scalable, and easy to set up, but lacks APIs, has integration issues with Jira, and high costs, with only average support from AWS.
Student at Sharda University4.5I've used Amazon Q Developer for months as a student to streamline AWS development, automate tasks, and learn best practices, though it could improve IDE integration, personalization, and affordability for users with limited financial resources like myself.
Senior Quality Engineer Data at Epsilon4.0Over six months, Amazon Q has helped me accelerate test automation, improve code documentation, and reduce execution time by 50%, though frequent logouts and limited chat history access remain frustrating during extended use.
Innovation Strategist at a insurance company with 5,001-10,000 employees3.5I've used Amazon Q for document summarization, chatbot integration, and developer support, finding it effective but limited in multimodal capabilities and costly at scale, with some setup and output format challenges that require ongoing adjustments.
Software Developer at Enorvision AIML limited3.5No summary available
Assistant consultant at Tata Consultancy4.0I've used Amazon Q for a year to assist with coding in Visual Studio, and it speeds up development. While it's helpful and stable, complex prompts and legacy migrations still need improvement, requiring occasional manual intervention.
Teaching Assistant at Norfolk State University4.0I've been using Amazon Q for a few months alongside AWS for AI and coding projects; it offers precise code summaries, helps when I'm stuck, and has great support, though there's room for more collaboration and improvement.
Customer Success Manager at a tech vendor with 10,001+ employees4.0I've used Amazon Q in contact center operations for years; it's scalable, reliable, and easy to deploy, though speech analytics and AI summaries need improvement. Its integration capabilities and brand strength make it a compelling solution.