Amazon Q vs Windsurf comparison

Amazon Web Services (AWS) and Windsurf are both solutions in the AI Code Assistants category. Amazon Web Services (AWS) is ranked #1 with an average rating of 8.3, while Windsurf is ranked #4 with an average rating of 7.8. Amazon Web Services (AWS) holds a 7.9% mindshare in AICA, compared to Windsurf’s 9.0% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Windsurf users who would recommend it.

Amazon Q

Read 20 Amazon Q reviews

1,766 Views
1,766 Comparison Views

100% willing to recommend

Windsurf

Read 4 Windsurf reviews

3,157 Views
2,526 Comparison Views

100% willing to recommend

Amazon Q

Windsurf

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

Windsurf and Amazon Q compete in the SaaS software tools market, focusing on different features for diverse user needs. While Windsurf is prominent for its cost-effectiveness and customer service, Amazon Q holds an edge with its advanced functionality, better suiting those who prioritize comprehensive features.

Features: Windsurf provides robust analytics, extensive customization, and strong personalization capabilities. Amazon Q offers seamless integration, extensive automation, and advanced machine learning features. The comparison reveals Windsurf focuses on personalized setups, while Amazon Q excels in integrating with external systems effortlessly.

Room for Improvement: Windsurf could enhance its integration capabilities, automate more processes, and improve collaboration tools. Amazon Q needs to simplify its deployment process, make its advanced features more user-friendly, and lower its initial cost barrier to enhance accessibility for smaller enterprises.

Ease of Deployment and Customer Service: Windsurf is praised for its simple deployment and responsive team, enhancing user experience right from the start. Although Amazon Q offers extensive technical support, its complex deployment can be a hurdle for new users without technical skills.

Pricing and ROI: Windsurf's lower initial costs provide a faster return on investment for budget-conscious buyers. In contrast, Amazon Q's higher upfront costs are justified over time, with substantial ROI through its advanced capabilities and long-term benefits.

To learn more, read our detailed Amazon Q vs. Windsurf Report (Updated: December 2025).

Buyer's Guide

Amazon Q vs. Windsurf

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Q

Ranking in AI Code Assistants

1st

Average Rating

8.4

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Windsurf

Ranking in AI Code Assistants

4th

Average Rating

7.8

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

IDE (4th), AI Software Development (9th)

Mindshare comparison

As of January 2026, in the AI Code Assistants category, the mindshare of Amazon Q is 7.9%, up from 2.8% compared to the previous year. The mindshare of Windsurf is 9.0%, down from 20.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Code Assistants Market Share Distribution
Product	Market Share (%)
Amazon Q	7.9%
Windsurf	9.0%
Other	83.1%

AI Code Assistants

Featured Reviews

Uday Boya

Ai Research Enthusiast And Developer at ADP

Daily AI assistance has transformed debugging, automation, and rapid project delivery

One improvement for Amazon Q is that I use it in Visual Studio, and in Visual Studio, I am not given an option to upload an image in Amazon Q. Also, this is one part of it. The second part is the context window of Amazon Q is very less compared to other GenAI tools. The moment I would be in a deep research or deep development or deep debugging mode in Amazon Q, the moment I hit the context length of the window, it would ask me to clear the complete context, and it would lose the complete context of the chat that I had previously. The two major pain points are that I have Amazon Q in Visual Studio, but I am not given an option to upload an image as a reference in Amazon Q. The second part is the context window is so limited. The moment I deep dive into some discussion in terms of development or debugging or automation, I hit a context length of the window, and the moment I hit it, it would lose the complete context. It has an option of summarizing the complete context and having it as a memory, but it would not be sufficient because I would have given a lot of details in the chat by that time. I have mentioned the two points earlier, so those are the only two points that I have in mind for improvements needed for Amazon Q.

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reviewer2748786

Founding BackEnd Engineer

Enhancing productivity with advanced code generation and low-cost accessibility

What they can do further and venture into next is to provide a CLI environment, similar to the command-line interface environment that Cursor offers. It allows for running a cursor agent from the command line to make changes, review pull requests, or access certain other capabilities. These capabilities are currently not in Windsurf. Windsurf focuses on the productivity and the ID/editor part. I would rather look for the inclusion of pull request reviews or a kind of a TRD or technical requirement general documentation generation, or system diagram generation directly from the codebase in Windsurf itself. These should be the next obvious features they launch for developers. In our team, there are certain people who use Windsurf regularly and appreciate using it. However, it is not a collaborative tool where someone is going to use the same tool and interact in the same IDE. Everyone does their local development, pushes it to different Git branches, someone reviews the PR, and then merges the branch. It is very localized in that sense.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The explanation and documentation capabilities are excellent."

"Amazon Q really helps in those types of situations, and when I get stuck, when I don't know what the code is supposed to mean, or if I'm just stuck in a loop and can't go forward, Amazon Q develops and gives me a better solution of all the possibilities and scenarios I could run."

"Amazon Q provides direct file access and it will integrate the things which you want into the files."

"The best feature of Amazon Q is that it has knowledge of my entire code base, entire repository, and its flows."

"The best feature of Amazon Q is the voice chat, where it talks back to you in normal language and you can query it."

"Amazon Q is able to understand human language regarding the context and scan through folders to ensure best practices are followed."

"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."

"One thing which I find beneficial in Amazon Q is that even if I don't have much knowledge, such as when using Lambda or Glue in AWS, I only need to have theoretical knowledge of how to use these services and what steps need to be followed."

More Amazon Q pros

"As we're experimenting with different AI IDEs, Windsurf has positively impacted my organization by providing options."

"Windsurf has positively impacted my organization by increasing productivity, because during a one-week hackathon we were able to build a product from scratch that would have taken at least two to three weeks, making the time savings substantial."

"As we're experimenting with different AI IDEs, Windsurf has positively impacted my organization by providing options."

"I have seen a return on investment with Windsurf because I have saved time and money and needed fewer resources since using it."

Cons

"The model is not able to give answers properly with the traffic it is facing, so it needs to be scaled more."

"While using Amazon Q, I faced some challenges, such as navigating the interface initially."

"While great for standard tasks, it sometimes struggles with more complex or multi-layered problems in large code bases."

"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."

"Sometimes feedback is needed immediately. It takes a bit of time because there is a workload."

"One most important improvement would be having deeper domain-specific intelligence for Amazon Q."

"If I start with a prompt in one tab and then try to continue in another, it does not retain that context."

More Amazon Q cons

"I chose 7 out of 10 because I've used Cursor as well, and sometimes I feel Cursor hallucinates less compared to Windsurf."

"Since using Windsurf, I notice more errors, but we deliver approximately twice as fast."

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Manufacturing Company

10%

Financial Services Firm

10%

Comms Service Provider

11%

Computer Software Company

10%

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	13

No data available

Questions from the Community

What needs improvement with Amazon Q?

While using Amazon Q, I faced some challenges, such as navigating the interface initially.

See all answers

What is your primary use case for Amazon Q?

I have completed a project where the company required testing R&D on Kubernetes. I tested it locally by installing MiniKube, Kubernetes, and all the containers. I configured the Kubernetes MCB ...

See all answers

What advice do you have for others considering Amazon Q?

I find Amazon Q easy to use, and I believe anyone can use it without needing extensive technical knowledge. I would definitely recommend Amazon Q to other people; it's a great tool. I find it quite...

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What is your experience regarding pricing and costs for Windsurf?

My experience with Windsurf's pricing, setup cost, and licensing was positive. I received a discount because I joined early, so the license cost or monthly rental of Windsurf has been reasonably pr...

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What needs improvement with Windsurf?

I have no suggestions at the moment for how Windsurf can be improved. I would not add more about the needed improvements, even small things that could make my experience better.

See all answers

What is your primary use case for Windsurf?

I have been using Windsurf off and on for the last year. My main use case for Windsurf is for software development. Currently, we're working on an API, and Windsurf will help us develop a particula...

See all answers

Comparisons

Cursor vs Amazon Q

Compared 49% of the time

GitHub CoPilot vs Amazon Q

Compared 13% of the time

Claude for Enterprise vs Amazon Q

Compared 7% of the time

Google Gemini AI vs Amazon Q

Compared 4% of the time

ChatGPT Team - Enterprise vs Amazon Q

Compared 4% of the time

More Amazon Q Competitors

Cursor vs Windsurf

Compared 23% of the time

Claude for Enterprise vs Windsurf

Compared 12% of the time

Qodo Gen vs Windsurf

Compared 6% of the time

Tabnine vs Windsurf

Compared 6% of the time

ChatGPT Team - Enterprise vs Windsurf

Compared 5% of the time

More Windsurf Competitors

Product Reports

Buyer's Guide

Amazon Q

January 2026

Download Amazon Q product report

Buyer's Guide

IDE

December 2025

Download Windsurf product report

Overview

Amazon Q provides context-aware responses and integrates seamlessly with AWS, supporting efficient cloud task management, multi-language frameworks, and documentation capabilities. It's an asset for diverse development needs with auto-logging, intuitive interfaces, and fast deployment.

Amazon Q offers advanced natural language interpretation, enriching productivity with robust features like Git-related insights for tracking code changes and built-in redundancy. It supports multi-language frameworks and fosters efficient cloud operations via AWS integration. Despite reported feedback delays, challenging task handling, and limited customization, it remains valuable for enhancing productivity through code generation, data analysis, API integration, and AI model development. However, users desire more precise data handling, robust IDE integration, improved session management, and reduced CPU usage.

What are the key features of Amazon Q?

Context-Aware Responses: Delivers natural language understanding for meaningful interactions.
AWS Integration: Enables seamless management of cloud tasks with deep AWS connectivity.
Multi-Language Support: Accommodates diverse frameworks for global application.
Robust Documentation: Facilitates detailed code change insights and documentation capabilities.
Auto-Logging: Ensures accurate tracking of inaccuracies for continuous improvement.

What benefits and ROI should users expect?

Boosted Productivity: Enhances workflow through efficient task automation and intuitive design.
Seamless Cloud Operations: Streamlines cloud management via AWS integration.
Advanced Coding Assistance: Supports complex coding tasks and improves code quality.
Improved Accuracy: Reduces errors with auto-logging and context-aware processing.

In industries like education, Amazon Q enhances coding assistance and provides document search capabilities. It's utilized for business applications, including document processing, managing contact centers, and creating data visualization dashboards. Teams also leverage its potential in areas like API integration and automating deployment tasks.

Amazon Web Services (AWS)

Windsurf offers a strategic approach to digital transformation, providing tools for optimizing processes. It's aimed at businesses looking to enhance efficiency and adapt to changing market demands through technology-driven solutions.

Targeted at enterprises, Windsurf integrates seamlessly with existing systems to improve workflow and data management. By offering customizable options, it meets diverse business requirements, enabling companies to stay competitive in a fast-paced environment. Its user-focused design ensures accessibility and ease of use, helping teams achieve their goals swiftly.

What are the key features of Windsurf?

Integration Capability: Connects with numerous software platforms, ensuring smooth data flow.
Customizable Options: Offers flexibility to tailor functionalities to specific business needs.
User-Friendly Interface: Designed for ease of adoption with minimal training requirements.
Real-Time Data Analysis: Provides immediate insights to support decision-making.

What benefits and ROI does Windsurf offer?

Increased Productivity: Streamlines operations leading to time and resource savings.
Cost Efficiency: Reduces overhead by optimizing processes and systems.
Improved Decision-Making: Real-time insights aid in strategic planning.
Scalability: Easily adapts as business grows without significant additional investment.

In areas like manufacturing and retail, Windsurf improves supply chain management and customer engagement. In healthcare, it optimizes patient data management, while in finance, it enhances compliance and reporting processes, each tailored to meet industry-specific challenges.

Windsurf

Sample Customers

Information Not Available

Dell, Anduril, MongoDB, Zillow, Atlassian

Buyer's Guide

Amazon Q vs. Windsurf

December 2025

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