C3 AI vs Query.ai comparison

C3 AI and Query are both solutions in the AI Data Analysis category. C3 AI is ranked #15 with an average rating of 7.3, while Query is ranked #23 with an average rating of 8.0. C3 AI holds a 0.6% mindshare in ADA, compared to Query’s 0.5% mindshare. Additionally, 75% of C3 AI users are willing to recommend the solution, compared to 100% of Query users who would recommend it.

C3 AI

Read 4 C3 AI reviews

1,966 Views
550 Comparison Views

75% willing to recommend

Query.ai

Read 3 Query.ai reviews

726 Views
508 Comparison Views

100% willing to recommend

C3 AI

Query.ai

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between C3 AI and Query.ai 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. Query.ai Report (Updated: April 2026).

Buyer's Guide

C3 AI vs. Query.ai

April 2026

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Helped 894,738 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

15th

Average Rating

7.2

Number of Reviews

Ranking in other categories

AI Customer Experience Personalization (15th), AI Sales & Marketing (9th), AI Content Creation (12th), AI Procurement & Supply Chain (4th)

Query.ai

Ranking in AI Data Analysis

23rd

Average Rating

8.0

Reviews Sentiment

4.3

Number of Reviews

Ranking in other categories

Security Analytics (6th), AI Security (119th)

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 Query.ai is 0.5%. It is calculated based on PeerSpot user engagement data.

AI Data Analysis Mindshare Distribution
Product	Mindshare (%)
C3 AI	0.6%
Query.ai	0.5%
Other	98.9%

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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reviewer2834415

DevSecOps engineer at a financial services firm with 10,001+ employees

Query automation has reduced investigation time and frees our team to focus on complex DevOps tasks

The best features Query.ai offers make anything with queries much easier, and it ensures that it is very optimistically correct with whatever it is doing. It also delivers access throughout real-time and historical data, making it really quick and fast to act upon. The real-time and historical data access from Query.ai helps me in my work by allowing me to go through queries quicker, so even if there are errors anywhere, detection happens pretty fast. Because it is on automation and the investigation is done really quickly, it saves a lot of my time. Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work. The reduction in workload due to Query.ai has made things easier, especially every time we need to investigate why an SQL query is not loading or if it is duplicating. It is especially effective during access management to either provision or de-provision access for users.

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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

"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."

"Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work."

"Time saving and accuracy are the main benefits; in my data mart and data lakes project, Query.ai has been very useful, with all transformations automated, which had a huge impact on our entire project."

"Query.ai helps reduce costs and improve security in my organization, though I do not have the actual numbers, but the impact was significant."

Cons

"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."

"However, I sometimes hear from colleagues that hallucination is an issue."

"I felt the pricing is somewhat higher."

"Query.ai performs well, but there are other software options that do auditing a little better."

"Probably Query.ai could be a little more optimized, but it is good."

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Top Industries

By visitors reading reviews

Construction Company

36%

Comms Service Provider

11%

Energy/Utilities Company

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 ...

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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...

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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...

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What is your experience regarding pricing and costs for Query.ai?

My experience with pricing, setup cost, and licensing was good. I felt the pricing is somewhat higher.

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What needs improvement with Query.ai?

I think integrating some LLM would be good because nowadays AI has a very huge impact. Additionally, I think it would be good if you add Amazon QuickSight for the reporting functionality.

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What is your primary use case for Query.ai?

My main use case for Query.ai is connecting to data lakes and data marts using Amazon S3. I have been connecting my data to Query.ai data lakes and data marts while doing some transformation, creat...

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IBM Security Guardium vs. Query.ai

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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

Query.ai offers an innovative approach to accessing and analyzing security data across platforms, simplifying the process for informed decision-making and enhancing security operations.

Query.ai specializes in providing streamlined data access and insights, allowing security professionals to efficiently manage scattered data sources. This platform enhances visibility and control, empowering teams with a single interface to query their data without transferring it, thereby reducing effort and time involved in traditional data management processes.

What are the key features of Query.ai?

Unified Query Interface: Simplifies data access across multiple environments.
No Data Movement: Ensures real-time insights without transferring data.
Scalable Architecture: Adapts to growing data volumes effortlessly.

What benefits or ROI can be expected?

Enhanced Efficiency: Cuts down incident response time significantly.
Cost Reduction: Lowers infrastructure costs by reducing data movement needs.
Improved Decision-Making: Provides immediate insights leading to better security posture.

In industries such as finance and healthcare, Query.ai is implemented to provide secure and efficient data operations, complying with strict regulations while offering robust data access solutions. Its architecture supports scalable operations, proving invaluable in sectors that demand high security and reliability.

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