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Featured Amazon Q reviews

Amazon Q mindshare

As of December 2025, the mindshare of Amazon Q in the AI Code Assistants category stands at 7.9%, up from 1.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
AI Code Assistants Market Share Distribution
ProductMarket Share (%)
Amazon Q7.9%
Cursor27.3%
Claude for Enterprise10.7%
Other54.099999999999994%
AI Code Assistants

PeerResearch reports based on Amazon Q reviews

TypeTitleDate
CategoryAI Code AssistantsDec 29, 2025Download
ProductReviews, tips, and advice from real usersDec 29, 2025Download
ComparisonAmazon Q vs GitHub CoPilotDec 29, 2025Download
ComparisonAmazon Q vs Google Gemini AIDec 29, 2025Download
ComparisonAmazon Q vs WindsurfDec 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Cursor0.027.3%0%0 interviewsAdd to research
GitHub CoPilot4.16.9%96%30 interviewsAdd to research
 
 
Key learnings from peers
Last updated Oct 12, 2025

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 Business2
Midsize Enterprise1
Large Enterprise11
By reviewers
By visitors reading reviews
Company SizeCount
Small Business78
Midsize Enterprise30
Large Enterprise143
By visitors reading reviews

Top industries

By visitors reading reviews
Computer Software Company
17%
Manufacturing Company
10%
Financial Services Firm
10%
Comms Service Provider
7%
Performing Arts
5%
Transportation Company
4%
University
4%
Outsourcing Company
4%
Recreational Facilities/Services Company
4%
Retailer
3%
Educational Organization
3%
Energy/Utilities Company
3%
Insurance Company
3%
Healthcare Company
3%
Media Company
3%
Government
2%
Hospitality Company
2%
Real Estate/Law Firm
2%
Marketing Services Firm
2%
Construction Company
1%
Consumer Goods Company
1%
Pharma/Biotech Company
1%
Non Profit
1%
Legal Firm
1%
Leisure / Travel Company
1%
Non Tech Company
1%

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Learn more about Amazon Q

Related questions

 
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.
Assoicate Consultant at ZS4.0I used Amazon Q for personal business analytics projects and found it efficient for retrieving insights quickly, especially via natural language. While it's powerful and time-saving, deeper domain-specific intelligence and improved explainability would enhance its usefulness.
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.
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.
Senior Software Engineer at a tech vendor with 1,001-5,000 employees4.0I've been using Amazon Q for about a month to write tests, understand code structure, and automate tasks; it's effective but has context limitations across tabs and large files, though I prefer it over Copilot for CLI integration.
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.