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C3 AI vs Cognite Data Fusion comparison

 

Comparison Buyer's Guide

Executive Summary

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

C3 AI
Ranking in AI Data Analysis
22nd
Average Rating
6.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (22nd), AI Sales & Marketing (37th), AI Content Creation (12th), AI Procurement & Supply Chain (3rd)
Cognite Data Fusion
Ranking in AI Data Analysis
20th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the AI Data Analysis category, the mindshare of C3 AI is 0.6%, up from 0.1% compared to the previous year. The mindshare of Cognite Data Fusion is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Market Share Distribution
ProductMarket Share (%)
Cognite Data Fusion0.6%
C3 AI0.6%
Other98.8%
AI Data Analysis
 

Featured Reviews

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.
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Top Industries

By visitors reading reviews
No data available
Energy/Utilities Company
15%
Insurance Company
10%
Financial Services Firm
10%
Wholesaler/Distributor
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for C3 AI?
From my experience, I see the pricing, setup costs, and licensing of C3 AI as quite expensive; even a CTO from a globally leading consumer goods company feels it is too expensive and does not want ...
What needs improvement with C3 AI?
I noticed that C3 AI's support is primarily handled by the operational team, and if you are new to C3 AI, you will not find available information in searches, which is limited. Support should be av...
What is your primary use case for C3 AI?
I have been using C3 AI for five years. My main use case for C3 AI is predictive maintenance, which belongs to reliability asset in development. A specific example of how I use C3 AI for predictive...
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Overview

Find out what your peers are saying about Informatica, BigID, Denodo and others in AI Data Analysis. Updated: January 2026.
881,733 professionals have used our research since 2012.