No more typing reviews! Try our Samantha, our new voice AI agent.

BigID Next vs C3 AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 22, 2026

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
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (13th), Data Governance (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), Data Security Platforms (DSP) (1st)
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)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of BigID Next is 0.7%, down from 23.3% compared to the previous year. The mindshare of C3 AI is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
BigID Next0.7%
C3 AI0.5%
Other98.8%
AI Data Analysis
 

Featured Reviews

Aniruddha Nath - PeerSpot reviewer
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.
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.

Quotes from Members

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

Pros

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"BigID has one of the best technical support teams."
"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."
"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report."
"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."
"The data classification offered by the tool can help companies improve their security strategy"
"BigID integrates well with our other products."
"BigID's scanning feature is its most valuable component."
"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."
"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."
 

Cons

"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."
"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. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."
"One area where BigID can be improved is the UI, which has a lot of bugs."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"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."
"The tool currently lacks security features."
"BigID needs improvement in terms of automation."
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"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."
"C3 AI can feel very enterprise-heavy. For smaller teams, it may feel excessive."
 

Pricing and Cost Advice

"I think that BigID's pricing is very reasonable."
"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"
"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."
"The solution is expensive."
Information not available
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
11%
Insurance Company
8%
Comms Service Provider
7%
Construction Company
28%
Manufacturing Company
11%
Comms Service Provider
11%
Energy/Utilities Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
 

Questions from the Community

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 advice do you have for others considering BigID?
I have covered information regarding data scanning, data classification, and the DSAR module, as these are the parts I have worked on, apart from developing custom connectors for a few data sources...
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...
 

Comparisons

 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID Next vs. C3 AI and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.