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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
1st
Average Rating
8.2
Reviews Sentiment
2.4
Number of Reviews
17
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) (2nd), 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

"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."
"The best feature of Amazon Q is that it has knowledge of my entire code base, entire repository, and its flows."
"The insight capability is specifically the best one because if searching for data, it will take some amount of time and can be really complex manually; with Amazon Q, it was able to give me quick insights in a couple of seconds with summarized results, which is something really amazing."
"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 the voice chat, where it talks back to you in normal language and you can query it."
"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 explanation and documentation capabilities are excellent."
"Amazon Q saved my time more than other products, such as GitHub Copilot, because it is conscious about particular AWS services."
"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."
"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."
"Rockset is very fast, and you can query just like in MySQL."
"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."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"The initial setup was very simple."
"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
 

Cons

"I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history."
"One most important improvement would be having deeper domain-specific intelligence for Amazon Q."
"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."
"Sometimes feedback is needed immediately. It takes a bit of time because there is a workload."
"The model is not able to give answers properly with the traffic it is facing, so it needs to be scaled more."
"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."
"They have room for improvements in search as sometimes it gives out wrong information."
"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."
"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."
"The information base of ChatGPT has to grow because, in some cases, it does not include information about my city."
"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
10%
Manufacturing Company
8%
Comms Service Provider
6%
Computer Software Company
14%
Comms Service Provider
8%
Manufacturing Company
8%
Performing Arts
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise12
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise3
 

Questions from the Community

What needs improvement with Amazon Q?
One most important improvement would be having deeper domain-specific intelligence for Amazon Q. While it can pull enterprise data sources, adding more domain-tuned models, for example in pharma, w...
What is your primary use case for Amazon Q?
My main use case for Amazon Q is primarily focused on business perspectives. I was able to do a Q&A sort of interaction. If I simply asked what the revenue was for this quarter, Amazon Q was ab...
What advice do you have for others considering Amazon Q?
My advice for others looking into using Amazon Q is that we should start small because we have to understand how exactly it works. Take a small use case, such as documentation or a codebase review....
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 ...
 

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: September 2025.
868,759 professionals have used our research since 2012.