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ChatGPT Team - Enterprise vs k9 Security Team comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 7, 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

ChatGPT Team - Enterprise
Average Rating
8.2
Reviews Sentiment
4.7
Number of Reviews
9
Ranking in other categories
AI Writing Tools (2nd), AI Code Assistants (7th), Large Language Models (LLMs) (2nd), AI Proofreading Tools (2nd)
k9 Security Team
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AWS Marketplace (60th)
 

Mindshare comparison

ChatGPT Team - Enterprise and k9 Security Team aren’t in the same category and serve different purposes. ChatGPT Team - Enterprise is designed for Large Language Models (LLMs) and holds a mindshare of 11.7%, up 3.3% compared to last year.
k9 Security Team, on the other hand, focuses on AWS Marketplace, holds 0.4% mindshare, down 0.4% since last year.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise11.7%
Blackbox.ai23.5%
Google Gemini AI16.6%
Other48.199999999999996%
Large Language Models (LLMs)
AWS Marketplace Market Share Distribution
ProductMarket Share (%)
k9 Security Team0.4%
Ethereum Validator Node6.2%
Revvity Signals Synergy5.9%
Other87.5%
AWS Marketplace
 

Featured Reviews

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.
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Comms Service Provider
9%
Manufacturing Company
8%
Performing Arts
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise4
No data available
 

Questions from the Community

What needs improvement with ChatGPT?
In our case and scenario, the implementation is good with enterprise data, but if we could set up a small language model for ChatGPT Team - Enterprise to work with in a very bounded and independent...
What is your primary use case for ChatGPT?
I am aware that a business integration can be done, but since we deal with sensitive information, at the moment, we are not integrating ChatGPT Team - Enterprise with any of our data or workflows.
What advice do you have for others considering ChatGPT?
ChatGPT Team - Enterprise is really good at understanding and automating menial tasks. While we still have progress to make to completely maximize our utilization, the overall outlook is very posit...
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Also Known As

Rockset
No data available
 

Overview

 

Sample Customers

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
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872,778 professionals have used our research since 2012.