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Amazon Q vs ChatGPT Team - Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 4, 2025

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
4th
Average Rating
8.2
Reviews Sentiment
2.1
Number of Reviews
16
Ranking in other categories
No ranking in other categories
ChatGPT Team - Enterprise
Ranking in AI Code Assistants
7th
Average Rating
8.2
Reviews Sentiment
4.0
Number of Reviews
8
Ranking in other categories
AI Writing Tools (2nd), Large Language Models (LLMs) (4th), AI Proofreading Tools (2nd)
 

Featured Reviews

Jayesh Patil - PeerSpot reviewer
Connectors and guardrails facilitate question-answer setups effectively
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.
RodrigoBassani - PeerSpot reviewer
Efficiently manages projects and daily tasks with personalized interaction
Some areas that could be improved with ChatGPT include the information they provide, as sometimes they hallucinate something that's not real. Sometimes they comment positively without being asked, and I have questioned ChatGPT that I don't want the prompt to agree with me but rather to challenge me. If I provide a slide and ask to compare it to McKinsey or other big companies and scale it from zero to 10, they might say it's an eight and suggest improvements to reach nine or ten. However, these evaluations aren't always realistic because if you're not a specialist on the subject, you might create something that's not accurate. This becomes problematic because we are working with real clients, not experiments. When working on real cases, I have to be the one to validate that the information is accurate. Sometimes they provide information that isn't real. You have to be the gate to validate that this information is correct before proceeding. For simpler tasks adjusting communication style or making text more formal, they perform perfectly. However, for complex cases, I don't use ChatGPT as the source of truth because it's not always accurate. If you delegate it to make decisions in your place, it could create significant problems to solve.

Quotes from Members

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

Pros

"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."
"Amazon Q saved my time more than other products, such as GitHub Copilot, because it is conscious about particular AWS services."
"The explanation and documentation capabilities are excellent."
"The best feature of Amazon Q is the voice chat, where it talks back to you in normal language and you can query it."
"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."
"The best feature of Amazon Q is that it has knowledge of my entire code base, entire repository, and its flows."
"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."
"The benefits of Amazon Q are that you don't need to build any code base at the backend to develop your RAG system or AI LLM-based summarization systems to do question-answer sets on the documents."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"I would rate ChatGPT a nine on a scale of one to ten."
"Rockset is very fast, and you can query just like in MySQL."
"The best features of ChatGPT include having a lot of information integrated, and it is quick to learn how to prompt the questions and to integrate text in documents to get a faster review or create a report."
"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"ChatGPT Team - Enterprise makes my life very easy because every time I have to look up something on Google, I have to search through multiple results, but ChatGPT Team - Enterprise provides information in a simpler view with the easiest format and in quite literally the simplest sentences."
"I save significant time because I can quickly get information about sources for subjects and main industry specialists regarding specific themes."
 

Cons

"The model is not able to give answers properly with the traffic it is facing, so it needs to be scaled more."
"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."
"I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history."
"While great for standard tasks, it sometimes struggles with more complex or multi-layered problems in large code bases."
"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."
"These evaluations aren't always accurate because if you're not a specialist on the subject, you may create something that's not real."
"The information base of ChatGPT has to grow because, in some cases, it does not include information about my city."
"They have room for improvements in search as sometimes it gives out wrong information."
"I would not recommend ChatGPT as a standalone product. I think it could be beneficial when used alongside other tools, but as a standalone solution, its accuracy cannot be entirely trusted."
"These evaluations aren't always accurate because if you're not a specialist on the subject, you may create something that's not real."
"If you ask it the same question twice, it gives you a slightly different answer, which even a human being does unless it memorizes something."
"For complex cases, I don't use ChatGPT as the source of truth. You need the expertise to validate if what the prompt produces is correct."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
10%
Manufacturing Company
8%
Comms Service Provider
6%
Computer Software Company
15%
Manufacturing Company
9%
Comms Service Provider
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with Amazon Q?
I currently use the free tier, and in all my use cases, it's been able to deliver. Even though machine learning models have errors, regarding its benchmark, it's able to perform well. The paid vers...
What is your primary use case for Amazon Q?
I use it for personal tasks and work. For personal projects, when I'm working on a weekend hobby, I can use it to create APIs, which helps to bootstrap. If I have a data set which I want to analyze...
What advice do you have for others considering Amazon Q?
I will recommend this solution. With the pricing, it's acceptable based on what you want to achieve or your priorities at a particular time. They have options for businesses. Depending on your work...
What needs improvement with ChatGPT?
There are areas where ChatGPT can still improve. If you ask it the same question twice, it gives you a slightly different answer, which even a human being does unless it memorizes something. As inf...
What is your primary use case for ChatGPT?
ChatGPT is used to write terminal scripts for Macintosh for remotely renaming a machine based upon a formula. We use it to remotely create users through remote terminal commands so we don't have to...
What advice do you have for others considering ChatGPT?
I haven't seen if ChatGPT is used with AWS; I haven't bothered to see what their back end is. We purchase ChatGPT through SherWeb, S H E R W E B, and we purchase through Pax8, P A X and the number ...
 

Comparisons

 

Also Known As

No data available
Rockset
 

Overview

 

Sample Customers

Information Not Available
1. Adobe 2. Cisco 3. Comcast 4. DoorDash 5. Expedia 6. Facebook 7. GitHub 8. IBM 9. Lyft 10. Microsoft 11. Netflix 12. Oracle 13. Pinterest 14. Reddit 15. Salesforce 16. Slack 17. Spotify 18. Square 19. Target 20. Twitter 21. Uber 22. Verizon 23. Visa 24. Walmart 25. Yelp 26. Zoom 27. Airbnb 28. Dropbox 29. eBay 30. Google 31. LinkedIn 32. Amazon
Find out what your peers are saying about Amazon Q vs. ChatGPT Team - Enterprise and other solutions. Updated: July 2025.
865,164 professionals have used our research since 2012.