Amazon Q Reviews

Name: Amazon Q
Brand: Amazon Web Services (AWS)
Rating: 4.1 (16 reviews)

4.1 out of 5

16 reviews
100% willing to recommend

What is Amazon Q?

Amazon Q is an innovative tool designed to streamline business processes and enhance data management efficiency, empowering enterprises to make informed decisions with ease.

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Amazon Q is the #4 ranked solution in top AI Code Assistants solutions. PeerSpot users give Amazon Q an average rating of 8.2 out of 10. Amazon Q is most commonly compared to Cursor: Amazon Q vs Cursor. Amazon Q is popular among the large enterprise segment, accounting for 59% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 17% of all views.

Helped 865,295 peers since 2012

Featured Amazon Q reviews

Jayesh Patil

Associate Software Engineer

There isn't such an issue we have faced with Amazon Q regarding speed increasing. Syncing and indexing takes a lot of time, and they need to improve upon that. Remaining everything is good for us, and that is also acceptable as we can set it as a nightly job. Once it's done, it takes around one hour max for any number of documents. We were trying to address specific issues and challenges by implementing Amazon Q in our environment because currently, they don't provide any APIs directly. We find it difficult to integrate with our product. The second challenge is while connecting Jira, we need the ACLs to maintain our security, but it doesn't allow us to connect to Jira if our ACLs are on. We need to turn them off to connect to it. Even though we connected with the support team of AWS, they were not able to resolve our issue, so we were disappointed at that moment. As a part of improvement, we don't see any improvement areas for Amazon Q at present. We first need to test that we can integrate it with our product. We need the APIs before we can suggest improvements.

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Ayush Harsh

Student at Sharda University

I particularly appreciate that Amazon Q offers fast and context-aware responses because it understands the development context and provides relevant answers that save time. The AWS integration is excellent, as smooth interaction with AWS services makes it easy to manage cloud tasks directly from the IDE. The code suggestions provide intelligent recommendations and explanations, reducing debugging time and helping me write cleaner code. I appreciate the ability to ask questions in plain English and get technical responses without needing to search through documentation. Amazon Q developer scales efficiently in terms of usage across different project sizes, teams, and workloads, as it works effectively for solo developers and has the potential for larger teams, especially when integrated into shared AWS environments. It supports multiple languages and frameworks, scaling across various stacks, ensuring consistent performance by maintaining responsiveness even in large code bases or complex AWS architectures.

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Sri Durga U

Senior Quality Engineer Data at Epsilon

Regarding the initial setup and the deployment process of Amazon Q, I did not face any difficulties. My organization provided credentials, and there were no issues with the setup. However, I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history. Each time I wish to return, I need to log back in and reauthenticate, which can be frustrating. In terms of tools that can improve and speed up data processing in Amazon Q, I find that authentication keeps prompting me to log in, and it would be beneficial for history retention to be more efficient. Searching through history must be made easier because I often cannot find specific items when searching. Aside from the logout issues we discussed, I would appreciate if Amazon Q could extend the login duration to at least 24 hours to make it more user-friendly.

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PeerResearch reports based on Amazon Q reviews

Type	Title	Date
Category	AI Code Assistants	Aug 20, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 20, 2025	Download
Comparison	Amazon Q vs GitHub CoPilot	Aug 20, 2025	Download
Comparison	Amazon Q vs Google Gemini AI	Aug 20, 2025	Download

Title	Rating	Mindshare	Recommending
Cursor	0.0	30.3%	0%	0 interviews Add to research
GitHub CoPilot	4.1	6.6%	96%	28 interviews Add to research

Valuable Features

Amazon Q excels in natural language processing, facilitating code correction and data analysis. Its integration with AWS enhances cloud management and task execution. Developers appreciate its ability to provide context-aware responses, streamline documentation, and recommend test cases. Amazon Q efficiently scales across projects, supports multiple languages, and maintains data privacy. Its IDE integration aids code suggestions and security scans. Users benefit from its powerful capabilities, seamlessly interacting with AWS services to boost productivity and development workflow.

"The best feature Amazon Q offers is the code security scan, which actually depicts the threat assessment of the code or whether a particular code snippet can be utilized by attackers to find loopholes."
"Amazon Q significantly reduced the time we spent on testing; it served as a great tool where we could ask questions, get answers, and complete testing efficiently."
"The support team from Amazon provides comfort because previously we used to think and implement, which took considerable time, and now we can complete our projects and requirements in three months or two months."

Room for Improvement

Amazon Q needs enhancements in authentication processes, session persistence, and integration with APIs. Users find the inability to process images or integrate with tools like Jira challenging. Coding suggestions sometimes lack accuracy and cause compatibility issues. Improved speech analytics accuracy, efficient data retrieval, and multimodal capabilities are needed. API integration and IDE support should be expanded. Customization features and scalability could be improved alongside better handling of large datasets and complex prompts.

"Even though we connected with the support team of AWS, they were not able to resolve our issue, so we were disappointed at that moment."
"While great for standard tasks, it sometimes struggles with more complex or multi-layered problems in large code bases."
"I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history."

Pricing

Enterprise users find Amazon Q pricing higher than competitors, with costs potentially shifting unexpectedly between Business and Pro plans. Setup and licensing are straightforward, but many highlight the overall expense as significant. While some users question its affordability, they acknowledge its value when integrated with AWS, seeing benefits in free tier access and productivity improvements. Users often note the comprehensive features under one platform, which partly justify the costs anticipated.

Popular Use Cases

Amazon Q is primarily used for developing and deploying applications, integrating AI, and upgrading code versions. Users employ it for document searches, optimizing contact center operations, code generation with AWS services, data visualization, and API creation. It aids in automating coding tasks, enhancing financial processing, reducing test automation time, and interacting with CRM tools. Companies find it valuable for cloud migrations, enhancing productivity, and leveraging analytics features.

Service and Support

The support team of Amazon Q is efficient, knowledgeable, and professional with a reasonable response time. Users appreciate the assistance during technical challenges, although some note room for improvement in speed and integration. Communication is clear, fostering a positive experience. Various geographical teams show high professionalism, contributing to Amazon Q's reliability. Despite some reports of unresolved issues and technical hurdles, the overall perception is supportive and helpful, with scores between 6 to 8 out of 10.

Deployment

Users found Amazon Q's initial setup easy and uncomplicated. It involved simple steps like installing the extension, signing in with AWS credentials, and configuring profiles. The process is well-supported by clear documentation, ensuring minimal difficulties. Many found the time taken for installation to be quick, around 5-10 minutes. Familiarity with AWS helps facilitate the process, and additional authentication steps are simple. Users with IT support or documentation hardly faced any challenges.

Scalability

Amazon Q displays strong scalability, recognized for seamless infrastructure expansion. Users value its capacity for handling diverse data sources and suggest improvements like enhanced admin controls. Some report issues with traffic management, pointing to a need for more robust scalability. Despite these challenges, Amazon Q is praised for its rapid infrastructure adjustments, especially in dynamic environments. Its integration with other AWS services strengthens its scalability, enabling users to remain agile and focus on business outcomes.

Stability

Amazon Q users find it stable with consistent performance during daily tasks. Stability hinges on internet connectivity, with rare slow responses or misinterpretations in complex scenarios. Users cite minor areas for improvement, such as better memory handling and offline capabilities. Traffic handling and prompt accuracy impact efficiency. Security is reassuring, though configuration is advised for data safety. Some users note a manual requirement but report no major issues or downtime. Stability is rated high by most users.

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

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Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

10%

Manufacturing Company

Comms Service Provider

Performing Arts

Transportation Company

University

Recreational Facilities/Services Company

Energy/Utilities Company

Retailer

Media Company

Healthcare Company

Insurance Company

Outsourcing Company

Government

Educational Organization

Real Estate/Law Firm

Hospitality Company

Legal Firm

Pharma/Biotech Company

Consumer Goods Company

Marketing Services Firm

Leisure / Travel Company

Non Profit

Construction Company

Compare Amazon Q with alternative products

Learn more about Amazon Q

It offers a comprehensive range of functionalities tailored to meet complex business requirements. Leveraging advanced algorithms, Amazon Q facilitates seamless data analysis and integration into existing infrastructures, driving productivity and performance optimization across industries. Its user-centric design ensures intuitive interaction, significantly reducing operational overhead.

What are the valuable features of Amazon Q?

Data Integration: Seamlessly integrates with diverse data sources for holistic analytics.
Advanced Analytics: Provides robust analytics capabilities for deeper insights.
Scalability: Adapts to growing business demands effortlessly.
Custom Reports: Generates custom reports tailored to specific needs.
Real-Time Monitoring: Offers real-time updates for dynamic decision-making.

What benefits and ROI should users look for?

Enhanced Efficiency: Streamlines processes, reducing time and resource expenditure.
Cost Reduction: Minimizes costs through optimized data handling.
Improved Decision-Making: Offers deeper insights for better business strategies.
Increased Productivity: Automates tasks to boost workforce productivity.
Scalability Benefits: Supports growth without additional investments.

Amazon Q is particularly effective in industries such as finance, healthcare, and retail. In finance, it aids in accurate risk assessment and financial forecasting. Healthcare providers use it for patient data management and improving care delivery. Retail businesses leverage its capabilities for inventory optimization and customer behavior analysis, demonstrating its adaptability and impact across different sectors.