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ChatGPT Team - Enterprise vs Honeycomb Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 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
Ranking in AI Code Assistants
6th
Average Rating
8.6
Reviews Sentiment
4.6
Number of Reviews
12
Ranking in other categories
AI Writing Tools (2nd), Large Language Models (LLMs) (2nd), AI Proofreading Tools (2nd)
Honeycomb Enterprise
Ranking in AI Code Assistants
11th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
Application Performance Monitoring (APM) and Observability (27th), AI Observability (75th)
 

Mindshare comparison

As of January 2026, in the AI Code Assistants category, the mindshare of ChatGPT Team - Enterprise is 3.8%, up from 2.7% compared to the previous year. The mindshare of Honeycomb Enterprise is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Code Assistants Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise3.8%
Honeycomb Enterprise0.7%
Other95.5%
AI Code Assistants
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
Diretor at Hat Thinking
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.
meetharoon - PeerSpot reviewer
CEO at a computer software company with 10,001+ employees
Its pattern-matching and code transformation capabilities can be adapted for mass identification and remediation of vulnerable libraries
I asked very specific questions to Mr. Pell about consideration of code security scenarios in pattern design and rules, specifically that tuned with OWASP Top 10. I believe addition of code security focus can be a value-add, though the way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions. Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment. Anyone interested in learning more on this front or have queries, can get in touch with me for a consulting.

Quotes from Members

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

Pros

"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."
"It is pretty valuable that we can set up prompts to define the context for conversations with ChatGPT Team - Enterprise, which enables it to stay the course during responses."
"The context-aware responses provide significant value in my company communication strategies."
"ChatGPT might write a 40-line script in 15 seconds, where it might have taken me 15 minutes before, allowing me to do my job quicker, which lets me help customers quicker, which lets nobody have to stay late at work, either me or them."
"Without ChatGPT Team - Enterprise, I wouldn't have been able to do a tenth of what I do currently."
"ChatGPT Team - Enterprise has positively impacted my organization by simplifying work, allowing tasks that could have required five or six people to be completed with fewer individuals while helping us create well-constructed content with great grammar and easily accessible stored information."
"Rockset is very fast, and you can query just like in MySQL."
"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
 

Cons

"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."
"There are issues of cost and viability, with various concerns around these aspects, but that would be a great enhancement for us."
"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."
"One area where ChatGPT Team - Enterprise can be improved is hallucinations."
"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."
"Filtering the database based on indexes is difficult in Rockset and should be simplified."
"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."
"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
17%
Financial Services Firm
12%
Manufacturing Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise4
No data available
 

Questions from the Community

What needs improvement with ChatGPT?
One area where ChatGPT Team - Enterprise can be improved is hallucinations. They have gotten slightly better, but sometimes it provides information that is either not relevant or made up. There is ...
What is your primary use case for ChatGPT?
As the Head of Marketing, my main use case for ChatGPT Team - Enterprise is for everything I do for marketing, whether that's writing emails, social posts, landing page copy, ideas for events, or s...
What advice do you have for others considering ChatGPT?
My advice for others looking into using ChatGPT Team - Enterprise is to do it. In my personal opinion, every marketer, sales, or corporate job should be using ChatGPT in every aspect of their life ...
What needs improvement with Honeycomb.io?
I asked very specific questions to Mr. Pell about consideration of code security scenarios in pattern design and rules, specifically that tuned with OWASP Top 10. I believe addition of code securit...
What is your primary use case for Honeycomb.io?
Although Grit is a tool code code migration and management of technical debt for large chunks of work, we reviewed Grit from the use case of assisting in faster remediation of vulnerable libraries....
What advice do you have for others considering Honeycomb.io?
We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failin...
 

Also Known As

Rockset
Grit
 

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
Clover Health, Eaze, Intercom, Fender
Find out what your peers are saying about ChatGPT Team - Enterprise vs. Honeycomb Enterprise and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.