C3 AI vs Qdrant comparison

C3 AI and Qdrant are both solutions in the AI Data Analysis category. C3 AI is ranked #19 with an average rating of 7.3, while Qdrant is ranked #11 with an average rating of 9.0. C3 AI holds a 0.5% mindshare in ADA, compared to Qdrant’s 0.4% mindshare. Additionally, 80% of C3 AI users are willing to recommend the solution, compared to 100% of Qdrant users who would recommend it.

C3 AI

Read 4 C3 AI reviews

2,701 Views
891 Comparison Views

80% willing to recommend

Qdrant

Read 6 Qdrant reviews

4,456 Views
758 Comparison Views

100% willing to recommend

C3 AI

Qdrant

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between C3 AI and Qdrant based on real PeerSpot user reviews.

Find out in this report how the two AI Data Analysis solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed C3 AI vs. Qdrant Report (Updated: June 2026).

Buyer's Guide

C3 AI vs. Qdrant

June 2026

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Helped 902,894 peers since 2012

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

19th

Average Rating

7.2

Number of Reviews

Ranking in other categories

AI Customer Experience Personalization (21st), AI Sales & Marketing (10th), AI Content Creation (12th), AI Procurement & Supply Chain (4th)

Qdrant

Ranking in AI Data Analysis

11th

Average Rating

9.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Open Source Databases (9th), Vector Databases (4th)

Mindshare comparison

As of July 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 Qdrant is 0.4%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Data Analysis Mindshare Distribution
Product	Mindshare (%)
Qdrant	0.4%
C3 AI	0.5%
Other	99.1%

AI Data Analysis

Featured Reviews

reviewer2795349

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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Chirag Morajkar

Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees

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.

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Quotes from Members

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

Pros

"The biggest strength of C3 AI is how much it handles in one platform: data integration, model deployment, governance, monitoring, and application development."

"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."

"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."

"We saw a clear return on investment from Qdrant, particularly in the engineering time saved and the empowerment of team members to handle self-service tasks instead of reducing headcount."

"Qdrant is an excellent vector database that anyone would want to use with RAG AI."

"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."

"Using Qdrant's hybrid search capability has improved my search results."

"An accuracy boost was definitely observed from 45 to 50% using Faiss to around 85 to 95% using Qdrant, and the users are really happy as they are getting suggested really good schemes that would take a lot of time to find."

"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."

Cons

"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 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."

"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."

"The file system lock in Qdrant prevents the API and scripts from hitting it directly, and to surpass this limitation, I have to run Qdrant client as a service, which incurs additional costs for running it continuously, so if something about that could be done, it would be really amazing."

"One of the key limitations is that Qdrant does not have built-in role-based access control, and while being self-hosted is a benefit, it can also be improved."

"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."

"Architectural complexity was a key friction point, as our primary database was set in Supabase, necessitating synchronization of two separate systems for user data, permissions, and states."

"A lot of our work is agentic right now, and we have also segmented the content to be logical, so there's not a lot of vector search anymore."

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902,894 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

31%

Manufacturing Company

11%

Energy/Utilities Company

11%

Comms Service Provider

10%

Comms Service Provider

11%

Financial Services Firm

10%

Manufacturing Company

10%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	8

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.

See all answers

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 ...

See all answers

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...

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What is your experience regarding pricing and costs for Qdrant?

Licensing posed no issues, as Qdrant is open-source software with no upfront fees. Initially, the setup cost was low since we utilized a self-hosted model on a small cloud VM. However, as we added ...

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What needs improvement with Qdrant?

While Qdrant is an exceptionally fast and efficient search engine within vector bases, our engineering team faced operational challenges during its adoption. Architectural complexity was a key fric...

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What is your primary use case for Qdrant?

I have been using Qdrant for almost one and a half years. This was actually one of the first vector databases that we picked up in our organization. We started using the RAG modules to create a per...

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Comparisons

Cognite Data Fusion vs C3 AI

Compared 26% of the time

Gong vs C3 AI

Compared 19% of the time

Automation Anywhere vs C3 AI

Compared 18% of the time

TextQL vs C3 AI

Compared 14% of the time

Automation Anywhere AI Agent vs C3 AI

Compared 13% of the time

More C3 AI Competitors

PostgreSQL vs Qdrant

Compared 10% of the time

Supabase Vector vs Qdrant

Compared 10% of the time

MySQL vs Qdrant

Compared 8% of the time

Microsoft Azure Cosmos DB vs Qdrant

Compared 7% of the time

MongoDB Enterprise Advanced vs Qdrant

Compared 7% of the time

More Qdrant Competitors

Product Reports

Buyer's Guide

C3 AI

June 2026

Download C3 AI product report

Buyer's Guide

Qdrant

June 2026

Download Qdrant product report

Overview

C3 AI leverages advanced AI to optimize supply chains, predict demand, and integrate data for improved decision-making. Real-time dashboards and alerts support quick actions, requiring JavaScript and machine learning expertise.

C3 AI empowers enterprises by enhancing operational efficiency through AI-driven insights. Users gain an edge by identifying pricing anomalies and tracking delivery and supplier health. With JavaScript as the primary interface, accessibility broadens, fostering implementation across platforms. C3 AI’s robust architecture, connectivity, and sourcing optimizations translate into significant savings, showcasing its reliability and diverse AI libraries. However, the need for a more streamlined deployment, better onboarding processes, and transparent AI recommendations remains essential for maximized use.

What are the main features of C3 AI?

Supply Chain Optimization: Uses AI for enhanced supply chain management and demand prediction.
Data Integration: Consolidates information from various sources for comprehensive analytics.
Real-Time Dashboards: Provides immediate data visualization and actionable insights.
Alerts and Notifications: Enables proactive decision-making through customized alerts.
Diverse AI Libraries: Enhances functionality with a wide range of AI tools and models.

What benefits should users look for when evaluating C3 AI?

AI-Driven Insights: Offers strategic data analysis for better decision-making.
Cost Savings: Demonstrated capability of generating millions in savings through optimization.
Scalable Operations: Facilitates scaling by integrating multiple ERP systems.
Predictive Maintenance: Reduces equipment downtime through precise failure predictions.
Automation: Streamlines sourcing and inventory management through automated processes.

Industries incorporate C3 AI for predictive maintenance, financial fraud detection, and operational scaling. Tech consultancies enable enterprise AI adoption using JavaScript, simplifying implementations without needing deep machine learning expertise. The platform’s comprehensive analytics are valued across sectors.

C3 AI

Qdrant is a powerful tool for efficiently organizing and searching large volumes of data. It is particularly useful for tasks such as data indexing, similarity search, and recommendation systems.

With fast and accurate results, it is suitable for various applications including e-commerce, content management, and data analysis. Users appreciate Qdrant's efficient search capabilities, high performance, and ease of use.

Its quick and accurate retrieval of relevant information allows for easy navigation and analysis of large datasets.

The intuitive interface and straightforward setup process make it accessible to users with varying levels of technical expertise.

Qdrant

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

Buyer's Guide

C3 AI vs. Qdrant

June 2026

Free Report: C3 AI vs. Qdrant

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