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ChatGPT Team - Enterprise vs OpenSearch comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 14, 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
8.4
Reviews Sentiment
4.8
Number of Reviews
11
Ranking in other categories
AI Writing Tools (2nd), AI Code Assistants (6th), Large Language Models (LLMs) (2nd), AI Proofreading Tools (2nd)
OpenSearch
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Open Source Databases (14th), Vector Databases (8th)
 

Mindshare comparison

ChatGPT Team - Enterprise and OpenSearch 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 9.9%, up 2.3% compared to last year.
OpenSearch, on the other hand, focuses on Open Source Databases, holds 4.6% mindshare, down 5.0% since last year.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise9.9%
Blackbox.ai18.0%
Google Gemini AI15.6%
Other56.5%
Large Language Models (LLMs)
Open Source Databases Market Share Distribution
ProductMarket Share (%)
OpenSearch4.6%
PostgreSQL14.7%
Firebird SQL13.3%
Other67.4%
Open Source Databases
 

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.
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Comms Service Provider
11%
Manufacturing Company
7%
University
7%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
9%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
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 ...
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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
1. Amazon 2. Netflix 3. Yelp 4. Adobe 5. IBM 6. Microsoft 7. Cisco 8. Oracle 9. Salesforce 10. eBay 11. Spotify 12. Airbnb 13. Twitter 14. LinkedIn 15. Pinterest 16. Slack 17. Dropbox 18. Expedia 19. Uber 20. Lyft 21. Square 22. Zillow 23. Reddit 24. Hulu 25. Twitch 26. Booking.com 27. Etsy 28. Groupon 29. StubHub 30. TripAdvisor 31. Wayfair 32. Zappos
Find out what your peers are saying about Google, OpenAI, Blackbox and others in Large Language Models (LLMs). Updated: December 2025.
879,899 professionals have used our research since 2012.