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ChatGPT Team - Enterprise vs TiDB Cloud 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
4.0
Number of Reviews
8
Ranking in other categories
AI Writing Tools (2nd), AI Code Assistants (7th), Large Language Models (LLMs) (2nd), AI Proofreading Tools (2nd)
TiDB Cloud
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
Database as a Service (DBaaS) (16th)
 

Mindshare comparison

ChatGPT Team - Enterprise and TiDB Cloud 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 12.3%, up 4.5% compared to last year.
TiDB Cloud, on the other hand, focuses on Database as a Service (DBaaS), holds 0.0% mindshare.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise12.3%
Blackbox.ai24.6%
Google Gemini AI16.6%
Other46.49999999999999%
Large Language Models (LLMs)
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
TiDB Cloud0.0%
Amazon RDS20.1%
MongoDB Atlas13.9%
Other66.0%
Database as a Service (DBaaS)
 

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.
Zaid Shaikh - PeerSpot reviewer
Helps to collect and analyze metrics and is useful for monitoring user engagement
If you are using a product managed by a cloud provider, such as AWS or Google Cloud, you benefit from various management tools. For instance, AWS offers CloudWatch for tracking metrics, while Google Cloud provides Time Series Insights. These tools are managed by the cloud providers. As an end user, you primarily need to pay for the service, and the cloud provider handles most of the management tasks. If you choose to use open-source tools like Prometheus, you will need to manage them yourself. It's a trade-off between convenience and cost. Opting for a managed service means you pay more but have less management overhead. On the other hand, using open-source solutions can reduce costs but requires you to handle the entire management of the infrastructure and database, such as ensuring uptime and provisioning resources. TiDB Cloud offers a reliable, managed solution that ensures availability and performance without the hassle of self-management.

Quotes from Members

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

Pros

"I save significant time because I can quickly get information about sources for subjects and main industry specialists regarding specific themes."
"I would rate ChatGPT a nine on a scale of one to ten."
"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
"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."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"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."
"Rockset is very fast, and you can query just like in MySQL."
"TiDB Cloud has a broader scope that offers multiple services. It can be compared to major cloud providers like AWS, Microsoft Azure, and GCP."
"TiDB selections are fast, and it handles collections and solutions well. Vertical and horizontal scaling are also good features."
 

Cons

"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."
"Filtering the database based on indexes is difficult in Rockset and should be simplified."
"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."
"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."
"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."
"The information base of ChatGPT has to grow because, in some cases, it does not include information about my city."
"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 should be the ability to replicate auto-increment sequences from the production environment to the disaster recovery environment."
"If you are using a product managed by a cloud provider, such as AWS or Google Cloud, you benefit from various management tools."
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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 Enterprise3
No data available
 

Questions from the Community

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 ...
What needs improvement with TiDB Cloud?
While using TiDB Cloud, I noticed things I don't like as a developer. For instance, it doesn't support functions and procedures, which Oracle and other databases do. This means that for table-to-ta...
What is your primary use case for TiDB Cloud?
Silverlake Axis has a core banking and loan product called SILK, used by most banks in Southeast Asia, like in Malaysia, Singapore, and Thailand. The new product I'm working on, Mobius, is a replac...
 

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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