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Amazon Q vs Tabnine comparison

 

Comparison Buyer's Guide

Executive Summary

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
20
Ranking in other categories
No ranking in other categories
Tabnine
Ranking in AI Code Assistants
8th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
IDE (9th)
 

Mindshare comparison

As of March 2026, in the AI Code Assistants category, the mindshare of Amazon Q is 7.5%, up from 4.9% compared to the previous year. The mindshare of Tabnine is 4.9%, down from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Code Assistants Mindshare Distribution
ProductMindshare (%)
Amazon Q7.5%
Tabnine4.9%
Other87.6%
AI Code Assistants
 

Featured Reviews

Uday Boya - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
12%
Manufacturing Company
10%
Comms Service Provider
6%
Computer Software Company
19%
Comms Service Provider
12%
Manufacturing Company
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise2
Large Enterprise13
No data available
 

Questions from the Community

What needs improvement with Amazon Q?
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 c...
What is your primary use case for Amazon Q?
My main use case for Amazon Q is that we have access to it in our company, and on a daily basis, we receive a lot of requirements from clients to build websites and probably do all the other work a...
What advice do you have for others considering Amazon Q?
My advice to others looking into using Amazon Q is very simple. Go and take a shot on Amazon Q and build cool applications. If someone has any existing project, go ahead and start analyzing the com...
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Comparisons

 

Overview

Find out what your peers are saying about Amazon Web Services (AWS), GitHub, Google and others in AI Code Assistants. Updated: March 2026.
884,873 professionals have used our research since 2012.