Try our new research platform with insights from 80,000+ expert users

ChatGPT Team - Enterprise vs TiDB Cloud 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
8.6
Reviews Sentiment
5.3
Number of Reviews
16
Ranking in other categories
AI Writing Tools (2nd), AI Code Assistants (5th), 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) (14th)
 

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 9.2%, up 6.5% compared to last year.
TiDB Cloud, on the other hand, focuses on Database as a Service (DBaaS), holds 1.7% mindshare.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise9.2%
Blackbox.ai16.7%
Google Gemini AI15.5%
Other58.6%
Large Language Models (LLMs)
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
TiDB Cloud1.7%
Amazon RDS13.5%
MongoDB Atlas12.3%
Other72.5%
Database as a Service (DBaaS)
 

Featured Reviews

Vyas Shubham - PeerSpot reviewer
Product Analyst at a consultancy with 51-200 employees
Centralized knowledge has transformed collaboration and now streamlines documentation work
ChatGPT Team - Enterprise is already a very strong AI tool, but some improvements could enhance it further. Currently, context depends on what is provided, the prompts, and what is in memory. An improvement could be the automatic suggestion of relevant files or context based on queries. Cross-document semantic linking could be beneficial. Better handling of evolving knowledge would be useful, such as showing what changes have been made since last month. Additionally, teams want finer permissions such as read-only memory groups and scoped templates by role, departments, and temporary access tokens for contractors. I feel that more granular access controls are needed. Beyond APIs, teams now want no-code automations, including the ability to trigger summary generation after meetings, classification of support tickets, and scheduling of reports. Another improvement that comes to mind is the implementation of an in-app learning and training program. Built-in tutorials could help the team discover more advanced features and learn how to provide better prompts. The platform should provide best practices that show users what they need to do to get the best results. An in-app learning or training program would be valuable.
Zaid Shaikh - PeerSpot reviewer
Software Engineer at Hinge Health, Inc.
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

"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 have noticed clear time-saving benefits, particularly in documentation, code reviews, and internal knowledge sharing, and I estimate a 30 to 40 percent reduction in the time spent on repetitive technical tasks, which translates into faster time-to-market for features, improved marketing ROI through more experiments per quarter, and reduced agency spending via reusable content templates."
"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."
"The initial setup was very simple."
"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
"Without ChatGPT Team - Enterprise, I wouldn't have been able to do a tenth of what I do currently."
"I believe ChatGPT Team - Enterprise has impacted not only my organization but organizations worldwide through its best features, faster execution, better consistency, improved collaboration, quick onboarding, and focus on high-value work."
"ChatGPT Team - Enterprise has significantly improved productivity by saving time on research, debugging, and documentation, with tasks that earlier took hours now taking much less time and creating a very positive impact on both me personally and on my organization."
"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

"One area where ChatGPT Team - Enterprise can be improved is hallucinations."
"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."
"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."
"Filtering the database based on indexes is difficult in Rockset and should be simplified."
"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."
"ChatGPT Team - Enterprise is already a very strong AI tool, but some improvements could enhance it further."
"They have room for improvements in search as sometimes it gives out wrong information."
"If you are using a product managed by a cloud provider, such as AWS or Google Cloud, you benefit from various management tools."
"There should be the ability to replicate auto-increment sequences from the production environment to the disaster recovery environment."
report
Use our free recommendation engine to learn which Large Language Models (LLMs) solutions are best for your needs.
881,733 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
11%
Comms Service Provider
11%
Manufacturing Company
8%
University
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise3
Large Enterprise6
No data available
 

Questions from the Community

What needs improvement with ChatGPT?
ChatGPT Team - Enterprise is currently working well, and I do not see any need for improvements because it handles every project I run without complexity or delay. Everything on ChatGPT Team - Ente...
What is your primary use case for ChatGPT?
My main use case for ChatGPT Team - Enterprise is developing and coding, and for team collaboration, we have been using it for content marketing as well as coding. A specific example of how I use C...
What advice do you have for others considering ChatGPT?
I rate ChatGPT Team - Enterprise a ten out of ten because it is stable, flexible, and fully customizable. It also demonstrates the best functionality and performance so far. I advise others looking...
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
Information Not Available
Find out what your peers are saying about Google, OpenAI, Blackbox and others in Large Language Models (LLMs). Updated: January 2026.
881,733 professionals have used our research since 2012.