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

Airtable vs C3 AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 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

Airtable
Ranking in AI Data Analysis
11th
Ranking in AI Sales & Marketing
2nd
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
17
Ranking in other categories
Project Management Software (12th), No-Code Development Platforms (9th), Product Management Software (1st)
C3 AI
Ranking in AI Data Analysis
36th
Ranking in AI Sales & Marketing
52nd
Average Rating
6.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (56th), AI Content Creation (12th), AI Procurement & Supply Chain (14th)
 

Mindshare comparison

As of January 2026, in the AI Data Analysis category, the mindshare of Airtable is 0.5%. The mindshare of C3 AI is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Market Share Distribution
ProductMarket Share (%)
Airtable0.5%
C3 AI0.5%
Other99.0%
AI Data Analysis
 

Featured Reviews

Favour Emosivbe - PeerSpot reviewer
Automation Specialist at ZapWorx
Has required stronger collaboration features while still supporting complex project workflows
The best features in Airtable include the flexibility and the fact that I could create relational databases. Before I started using Airtable, I was using Excel which didn't offer these capabilities. The ability to create relationships between tables and see through what's working in other departments is great for me. I can do scripting and work on large data sets on Airtable. It makes it easy for me, as working on those data sets on Excel tends to slow me down, but on Airtable, it's much faster. I can integrate Airtable with other platforms; aside from the native integration where I can send notifications to Slack teams and messages to Gmail, I can also connect with Make.com to share data. The interface on Airtable is exceptional. Working for my clients, when a client didn't want access given to all teams, we structured that on the interface and the different teams got different access to different tables. Airtable's rich field types help in organizing complex data for my team. The advanced field types work exceptionally with features such as linking records together. I can link records from other tables and see what's happening, use the lookup field, the roll-up field, and the count field to see what's occurring in other departments and generate insights. Unlike other CRMs, data cannot enter if it's not properly structured. If I want to input an email and it's not valid, it won't allow it because it expects the data to be structured appropriately.
reviewer2795349 - PeerSpot reviewer
Group Head of Data Strategy & Enterprise Governance at a consumer goods company with 10,001+ employees
Struggled to justify enterprise adoption but have valued broader developer accessibility
If I could change or add anything to improve C3 AI, I would suggest making it not just an AI platform, but a data and AI combined platform, as bringing in data management elements, governance, and cloud features is critical. The real AI and modeling represent only 20 percent of what is needed; there is over 80 percent in the rest of the world that should be addressed. Given Tom Siebel's deep understanding of corporate work and his network, integrating C3 AI with other ERP solutions such as Oracle, SAP, or Microsoft is essential. If C3 AI can be an enterprise platform, embedding more data elements and ensuring seamless integration with other ERP solutions would significantly enhance its capabilities and attractiveness. If someone told me that they have SAP, and C3 AI can seamlessly integrate the data and perform action calls between SAP, allowing me to operate on C3 AI as I would on SAP, that would be a killer feature for me. I would suggest avoiding traditional licensing sales as it is too expensive; the starting price is too high. Considering a subscription model or a pay-per-use model is the best business structure for AI or data solution vendors. The pay-per-use model benefits usage, as the more you use, the more successful you become with the platform.
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Educational Organization
9%
Comms Service Provider
9%
Construction Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise1
Large Enterprise4
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Airtable?
I am not sure about the pricing because I believe budget discussions are handled by a different marketing team. We have a separate team that manages all those matters; we just handle the clients' d...
What needs improvement with Airtable?
One area of Airtable that I think could be improved is the automation aspect, which is vast but limited compared to tools such as GoHighLevel, where multiple triggers can be utilized. In Airtable, ...
What is your primary use case for Airtable?
My usual use case for Airtable is for CRM management, such as lead management, and also real estate project management. I also use it for project management related to events, project management, i...
Ask a question
Earn 20 points
 

Comparisons

No data available
 

Overview

 

Sample Customers

Cole Haan, Expedia, BuzzFeed, Medium, Shopify, Box, JetBlue
Information Not Available
Find out what your peers are saying about Airtable vs. C3 AI and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.