Amazon

Amazon Q

Composite Score

7.3 /10

CX Score

7.6 /10

7 Reviews Write a Review

Claim Software

What is Amazon Q?

Amazon Q is a generative AI assistant that transforms how work gets done in your organization. With specialized capabilities for software developers, business intelligence analysts, contact center employees, supply chain analysts, and anyone building with AWS, Amazon Q helps every employee get insights on their data and accelerate their tasks. Leveraging Amazon Q's advanced agentic capabilities, companies can streamline processes, get to decisions faster, and help employees be more productive.

Company Details

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Amazon Q Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

81 Likeliness to Recommend

57 Plan to Renew

79 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+93 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Amazon Q?

0% Negative

0% Neutral

100% Positive

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 78

Algorithm Recommendation

Model Training

Data Exploration and Visualization

Model Monitoring and Management

Algorithm Diversity

Data Pre-Processing

Ensembling

Performance and Scalability

Model Tuning

Feature Engineering

Data Labeling

Vendor Capability Ratings

Average 80

Ease of Implementation

Availability and Quality of Training

Vendor Support

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Ease of Data Integration

Breadth of Features

Business Value Created

Amazon Q Reviews

Anandita S.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2025

A Robust AI Assistant for AWS-Centric Development

Likeliness to Recommend

8 /10

What differentiates Amazon Q from other similar products?

Amazon Q Developer distinguishes itself by seamlessly integrating into the AWS ecosystem, offering tailored support for AWS services and infrastructure.

What is your favorite aspect of this product?

Supports multiple languages, facilitating collaboration among diverse development teams.

What do you dislike most about this product?

While it supports several languages, the range is still narrower compared to some competitors.

What recommendations would you give to someone considering this product?

I recommend Amazon Q Developer for teams and organizations heavily invested in the AWS ecosystem. Its specialized features and deep integration can significantly enhance productivity and streamline development workflows within AWS.

Pros

Continually Improving Product
Enables Productivity
Efficient Service
Inspires Innovation

Cons

Commodity Features
Less Effective Service

Gunjan T.

Role: Consultant
Industry: Consulting
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Sep 2025

User-Friendly Yet Capable of Advanced Projects

Likeliness to Recommend

10 /10

What differentiates Amazon Q from other similar products?

Amazon Q stands out for its seamless integration with the AWS ecosystem, advanced natural language understanding, and scalable infrastructure. Its AI-driven insights, automation capabilities, and robust security make it ideal for enterprises seeking reliable, high-performance solutions. Ease of deployment and cross-platform support further distinguish it from competitors.

What is your favorite aspect of this product?

My favorite aspect of Amazon Q is its seamless integration with AWS services, which simplifies deployment and scalability. Its advanced AI and natural language processing capabilities make complex data analysis intuitive. The platform balances power with usability, allowing both technical and non-technical users to derive actionable insights efficiently.

What do you dislike most about this product?

While Amazon Q is powerful, its complexity can be challenging for new users, requiring time to learn advanced features. Integration outside the AWS ecosystem may require additional setup, and the cost can escalate quickly for high-volume usage. These factors may pose barriers for smaller teams or beginners.

What recommendations would you give to someone considering this product?

I recommend clearly defining your goals before using Amazon Q and starting with smaller projects to familiarize yourself with its features. Take full advantage of AWS integrations, plan for potential costs, and invest time in learning advanced functionalities to maximize efficiency and leverage the platform’s powerful AI capabilities

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Oluwaseun E.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2025

The software is good if only you as a user know it

Likeliness to Recommend

8 /10

What differentiates Amazon Q from other similar products?

It's the most capable generative AI-powered assistant for building, operating, and transforming software, with advanced capabilities.

What is your favorite aspect of this product?

It is it's ability to help write codes and answers some questions

What do you dislike most about this product?

It does make use of hallucinations thereby influencing it's response sometimes

What recommendations would you give to someone considering this product?

My recommendation will be that the user understands the intricacies that surrounds Amazon q and hoe it works to avoid getting wrong code and the user learning how to debug at least to know where the problem is in case there's error

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Amazon Q

What is Amazon Q?

Company Details

Need Assistance?

Amazon Q Ratings

81 Likeliness to Recommend

57 Plan to Renew

79 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Amazon Q?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Model Training Ability to train a model with a range of data sets that you provide.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Ensembling 'Ability to combine ML models for best results.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Tuning Ability to fine-tune models based on monitoring feedback within the platform.

Feature Engineering Ability to extract and build features from raw data.

Data Labeling Ability to annotate/ label data to create a training data set.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Amazon Q Reviews

Anandita S.

A Robust AI Assistant for AWS-Centric Development

Likeliness to Recommend

Pros

Cons

Gunjan T.

User-Friendly Yet Capable of Advanced Projects

Likeliness to Recommend

Pros

Oluwaseun E.

The software is good if only you as a user know it

Likeliness to Recommend

Pros

Feature Ratings

Algorithm Recommendation

Model Training

Data Exploration and Visualization

Model Monitoring and Management

Algorithm Diversity

Data Pre-Processing

Ensembling

Performance and Scalability

Model Tuning

Feature Engineering

Data Labeling

Vendor Capability Ratings

Ease of Implementation

Availability and Quality of Training

Vendor Support

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Ease of Data Integration

Breadth of Features

Business Value Created