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C3 AI vs Cube 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
20th
Average Rating
7.2
Number of Reviews
4
Ranking in other categories
AI Customer Experience Personalization (20th), AI Sales & Marketing (13th), AI Content Creation (12th), AI Procurement & Supply Chain (4th)
Cube
Ranking in AI Data Analysis
19th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of C3 AI is 0.5%, up from 0.4% compared to the previous year. The mindshare of Cube is 0.3%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cube0.3%
C3 AI0.5%
Other99.2%
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.
Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

Quotes from Members

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

Pros

"One of the best features C3 AI offers is that you do not need to learn Python or any specific machine learning programming language; you can use C3 AI with JavaScript."
"I have noticed improvements in efficiency, reduced downtime, and time saved for my team, as it is quite integrated through the source ML pipeline to report to general customer UI, functioning as one platform that takes care of everything, thus improving efficiency, optimization, and increasing project deliverables."
"In the first phase alone, there was approximately $90 million in savings, which reduced about 5% of inventory."
"The biggest strength of C3 AI is how much it handles in one platform: data integration, model deployment, governance, monitoring, and application development."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
"Cube's caching mechanism impacts my database query loads and response times significantly."
 

Cons

"C3 AI can feel very enterprise-heavy. For smaller teams, it may feel excessive."
"However, I sometimes hear from colleagues that hallucination is an issue."
"The reason I chose eight out of ten is that as a user of C3 AI, I found the operational aspect not easy to understand; it is a bit tricky, and you should have more core knowledge to navigate C3 AI."
"We even failed to open any doors for C3 AI; there are no smaller wins, learning opportunities, or process improvements, even if the main goals were not met."
"Cube can be improved by enhancing data refresh over multiple tabs."
"There is no way to create a real template that is not exposed directly in the UI."
"I did not see any return on investment from Cube."
"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
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909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
28%
Manufacturing Company
11%
Comms Service Provider
11%
Energy/Utilities Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for C3 AI?
The pricing for C3 AI was quite high compared to other smaller AI platforms and open-source alternatives we had explored. Initially, we were cautious due to the significant investment involved.
What needs improvement with C3 AI?
C3 AI can feel very enterprise-heavy. For smaller teams, it may feel excessive. Some workflows also feel more complex than they need to be. Overall, it is a good product, but the platform can feel ...
What is your primary use case for C3 AI?
I have been using C3 AI for roughly eight to ten months as part of a small engineering team working on operational analytics. We primarily use it for predictive maintenance and some newer generativ...
What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
 

Comparisons

 

Overview

Find out what your peers are saying about C3 AI vs. Cube and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.