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C3 AI vs Qdrant 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
15th
Average Rating
7.2
Number of Reviews
4
Ranking in other categories
AI Customer Experience Personalization (15th), AI Sales & Marketing (9th), AI Content Creation (12th), AI Procurement & Supply Chain (4th)
Qdrant
Ranking in AI Data Analysis
18th
Average Rating
9.4
Reviews Sentiment
5.3
Number of Reviews
3
Ranking in other categories
Open Source Databases (11th), Vector Databases (5th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of C3 AI is 0.6%, up from 0.3% compared to the previous year. The mindshare of Qdrant is 0.5%, down from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
C3 AI0.6%
Qdrant0.5%
Other98.9%
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.
CC
Lead Ai Tech And Tech Automation Engineer at CleanFoldz Laundry
Building accurate no-code resume screeners has saved weeks in document search workflows
I see room for improvement in Qdrant based on what another platform called Weaviate offers. Qdrant provides an excellent vector database with a solid searching method. However, it could elevate its offering by integrating embedding features. Currently, for the workflow automation I build, I rely on other platforms for embedding, so incorporating this feature directly in Qdrant Cloud would eliminate the need to depend on external solutions. A pain point I have encountered was the inactive expiration of the cloud created for certain projects. If the cloud is not used for a week, it gets terminated, which is frustrating. I think increasing that inactivity window in the free tier would be beneficial, as I have faced limitations due to this seven-day inactivity rule, requiring me to reset up the cloud after its termination.

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."
"In the first phase alone, there was approximately $90 million in savings, which reduced about 5% of inventory."
"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."
"The biggest strength of C3 AI is how much it handles in one platform: data integration, model deployment, governance, monitoring, and application development."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"Using Qdrant's hybrid search capability has improved my search results."
 

Cons

"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."
"However, I sometimes hear from colleagues that hallucination is an issue."
"C3 AI can feel very enterprise-heavy. For smaller teams, it may feel excessive."
"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."
"The area for improvement in Qdrant is its clustering capability. While it has clustering functionality, it is not easy to set up, and not everyone can configure the clustering, so there is room for improvement in the clustering configuration."
"A pain point I have encountered was the inactive expiration of the cloud created for certain projects; if the cloud is not used for a week, it gets terminated, which is frustrating."
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Top Industries

By visitors reading reviews
Construction Company
36%
Comms Service Provider
11%
Energy/Utilities Company
9%
Manufacturing Company
5%
Financial Services Firm
11%
Comms Service Provider
11%
Computer Software Company
10%
Manufacturing Company
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?
From a features perspective, I cannot identify specific areas for improvement, but for me, the platform feels satisfying. However, I sometimes hear from colleagues that hallucination is an issue. O...
What is your primary use case for C3 AI?
I was involved in testing, and the main use case is more focused on sourcing. The sourcing team is using C3 AI apps for inventory management and saving inventory data. C3 AI is used by the sourcing...
What is your experience regarding pricing and costs for Qdrant?
Using Qdrant is free. We house it and have a VM where we just installed it on the VM.
What needs improvement with Qdrant?
The area for improvement in Qdrant is its clustering capability. While it has clustering functionality, it is not easy to set up, and not everyone can configure the clustering, so there is room for...
What is your primary use case for Qdrant?
Our use case for Qdrant is AI data analysis.
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
1. Airbnb 2. Amazon 3. Apple 4. BMW 5.Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10. HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18. Microsoft 19. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
Find out what your peers are saying about C3 AI vs. Qdrant and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.