BigID Next vs C3 AI comparison

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BigID Next

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and C3 AI compete in the data management and analytics field. BigID Next is superior in privacy management and deployment satisfaction, while C3 AI stands out with its feature-rich AI analytics capabilities.

Features: BigID Next is ideal for privacy management with robust data protection features, exceptional privacy management tools, and strong compliance tracking. C3 AI focuses on comprehensive AI-driven analytics with predictive analytics, strategic insights, and enhanced decision-making capabilities.

Ease of Deployment and Customer Service: BigID Next offers straightforward deployment and top-tier customer service for smooth system integration. C3 AI solutions may be more complex, requiring specialized support services, presenting potential deployment challenges.

Pricing and ROI: BigID Next provides competitive pricing focusing on ROI through effective data privacy management. C3 AI demands higher initial investment justified by potential long-term ROI in strategic intelligence.

To learn more, read our detailed BigID Next vs. C3 AI Report (Updated: April 2026).

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BigID Next vs. C3 AI

April 2026

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

BigID Next

Ranking in AI Data Analysis

3rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (8th), Data Governance (4th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th)

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)

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of BigID Next is 0.9%, down from 20.7% compared to the previous year. The mindshare of C3 AI is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Data Analysis Mindshare Distribution
Product	Mindshare (%)
BigID Next	0.9%
C3 AI	0.6%
Other	98.5%

AI Data Analysis

Featured Reviews

Aniruddha Nath

Senior Security Consultant at a consultancy with 10,001+ employees

Data discovery has transformed compliance workflows and automation now speeds up requests and remediation

The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.

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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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Quotes from Members

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

Pros

"BigID's scanning feature is its most valuable component."

"BigID has one of the best technical support teams."

"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly."

"One of the most valuable things in a data-focused world is a tool, a technology that's data-centric, not trying to master data management or whatever else. It's a source of truth for what data an organization holds, giving it the ability to catalog, categorize, and understand its data."

"BigID integrates well with our other products."

"The tool's most valuable feature is correlation. Using BigID's data classification capabilities has strengthened our data security. It lets me classify and connect data, which helps me manage data at various classification levels."

"Although I was serving the client rather than my own organization, BigID has made scans faster and more efficient, and the DSR results are much more accurate."

"I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are impressive. It offers custom classifiers and a blend of regular exploration and artificial intelligence, making it a next-generation solution. This enhances data security, and its security posture management is straightforward and user-friendly."

More BigID Next pros

"In the first phase alone, there was approximately $90 million in savings, which reduced about 5% of inventory."

"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."

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

"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."

Cons

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management."

"Some users find catalog navigation challenging due to the lack of a search-by-column feature, which makes it difficult to locate specific data quickly."

"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."

"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program."

"BigID is expensive. I prefer McAfee."

"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."

"The tool currently lacks security features."

More BigID Next cons

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

"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."

"C3 AI can feel very enterprise-heavy. For smaller teams, it may feel excessive."

Pricing and Cost Advice

"The pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you."

"The product is expensive, but so are all competitor tools"

"I think that BigID's pricing is very reasonable."

"The solution is expensive."

"The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Insurance Company

Comms Service Provider

Construction Company

36%

Comms Service Provider

11%

Energy/Utilities Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

No data available

Questions from the Community

What do you like most about BigID?

I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are i...

What needs improvement with BigID?

One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur. I think the BigID team is aware of this and works on resolving iss...

What is your primary use case for BigID?

BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data within those systems, and identify sensitive information across various structur...

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...

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Product Reports

Download BigID Next product report

BigID Next

May 2026

Download C3 AI product report

May 2026

Overview

BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.

BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.

What features does BigID Next offer?

User-Friendly Interface: Easily navigable for streamlined data operations.
Microsoft Integration: Seamless compatibility with Microsoft platforms.
Data Scanning Capabilities: Efficiently scans structured and unstructured data.
Data Classification and Discovery: Identifies and categorizes sensitive data.
Security Labels: Supports predefined and custom security labels.
Automation for PII Requests: Automates privacy request management.
Compliance Adherence: Aligns with GDPR and CCPA requirements.
Scheduling Scans: Facilitates planned data assessments.
Machine Learning: Enhances data mapping, auditing, and management.

What benefits should users look for?

Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
Data Mapping Efficiency: Improves data locating and classification.
Automation Features: Saves time with automated data request handling.
Comprehensive Integration: Works well with existing security tools.
Holistic Data View: Offers clear insights into data storage and use.

BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.

BigID

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.

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available