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

C3 AI vs Cohesity Data Cloud 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
18th
Average Rating
7.0
Number of Reviews
3
Ranking in other categories
AI Customer Experience Personalization (17th), AI Sales & Marketing (36th), AI Content Creation (10th), AI Procurement & Supply Chain (3rd)
Cohesity Data Cloud
Ranking in AI Data Analysis
11th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Backup and Recovery (19th), Cloud Backup (14th), Data Management Platforms (DMP) (6th)
 

Mindshare comparison

As of March 2026, in the AI Data Analysis category, the mindshare of C3 AI is 0.6%, up from 0.1% compared to the previous year. The mindshare of Cohesity Data Cloud is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cohesity Data Cloud0.6%
C3 AI0.6%
Other98.8%
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.
ME
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
Has provided strong data protection and unified access while streamlining backup operations
Cohesity Data Cloud is not unique in this area. There are a couple of other vendors who are playing in the same area. They provide some sort of isolation for the protected data that makes it very difficult, almost impossible to tamper with once it is stored on the platform. One of the major issues of ransomware attacks is that they happen in the background and it is too late after being hit. Giving a hard time for bad actors to access the data provides more immunity for your data from ransomware attacks. All organizations are very interested in as-a-service model where they do not pay upfront costs, but only get the services and pay for what they use. Converting from CapEx to OpEx is the ultimate goal for any financial manager in any organization. The model uses some sort of object storage for the backup data and contents, which gives a better level of safety than the traditional file system because normally the object storage is not subject to alteration. The only concern I have with cloud implementation is that if you have a presence on-premises, trying to use the cloud may become a performance challenge. It is a perfect situation for workloads that live in the cloud. The way I design things is we should not send data across the WAN to the cloud if it is a large volume that could potentially affect performance. A cloud solution is ideal for a cloud workload from Cohesity Data Cloud perspective. It is best to have some sort of local presence of a repository to do the backup using LAN performance. Then we can always send or upload the data to the cloud without impacting the actual backup window. Support for additional platforms and the option to do multi-tier performance would be beneficial. For example, if I have three types of workloads - SAP database, Oracle database, and SQL database - each with different backup window requirements, the ability to tier performance to meet these specific needs would be perfect for the actual workload and meeting the availability requirements of each application domain. The general perception is if it is not broken, do not fix it. In most cases, organizations do not see value for security until they are hit with something bad. With ever-increasing threats and risks of ransomware and data theft, the problem is becoming more obvious. Looking at what is happening in the market and seeing organizations being hit by security threats, the level of loss of services and client dissatisfaction makes security investment worthwhile. There is no real tangible ROI for security, but considering the potential of losing data forever or having it exposed unnecessarily to the market, it is worth the investment. The bad actors and risks are always reinventing themselves, so we must reinvent our security posture.

Quotes from Members

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

Pros

"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."
"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."
"It is easy to install and use."
"Our backup and recovery rate using Cohesity is reduced almost one by fourth as compared to our old solution."
"Cohesity Data Cloud comes with a different flavor where they provide global deduplication across multiple platforms, which provides a tremendous return on investment from a storage perspective because if you have a segment that can be deduplicated in one box and you have multiple boxes, you cannot repeat the deduplication function across different hardware."
"Cohesity Data Cloud is user-friendly, and anyone can use this tool; the support is really good, especially the web support, and the dashboard and everything are good."
"My favorite feature of Cohesity Data Cloud is the setup, as it is very fast compared to other solutions; I have worked in different clouds, and Cohesity Data Cloud stands out as superior."
"The clone feature is very nice. You can restore workloads onto Cohesity's storage, which is also nice to have when you don't have enough space to restore on the server."
"We use Cohesity Helios primarily in our data management strategy for backup and reporting."
"It's very regimented and fast. It does local backup, cloud backup, long-term coverage, and disaster recovery."
 

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."
"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."
"There is limited support for legacy systems, which is something that could be improved."
"One of the worst situations occurred when the sizing team did not get the correct subscription, usage, and capacity from Cohesity."
"The pricing of the Cloud is on the higher side, and it should be cost-effective enough to compete with native solutions."
"The pricing of the Cloud is on the higher side, and it should be cost-effective enough to compete with native solutions."
"Sometimes the support team does not provide proper assistance during critical issues from the cloud end."
"Their documentation portal is not up to date for newer releases and I strongly recommend Cohesity to increase their efforts on the documentation portal."
"They still have quite some way to go for improving their agents."
"The initial setup can be complex, depending on the environment."
 

Pricing and Cost Advice

Information not available
"Competing products sometimes use deceptive marketing to make their products seem a lot cheaper. Comparing apples-to-apples, DataPlatform wins out."
"It's priced properly for the market."
"Regarding pricing, it's very costly and I rate it a four."
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
885,311 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
33%
Energy/Utilities Company
10%
Comms Service Provider
10%
Manufacturing Company
7%
Manufacturing Company
16%
Financial Services Firm
13%
Construction Company
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise7
 

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 Cohesity DataPlatform?
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it. Converting from CapEx to OpE...
What needs improvement with Cohesity Imanis Data?
Cohesity Data Cloud is not unique in this area. There are a couple of other vendors who are playing in the same area. They provide some sort of isolation for the protected data that makes it very d...
What is your primary use case for Cohesity Imanis Data?
I have been in a relationship with Cohesity Data Cloud for more than five years now. I have used Helios in the past.
 

Also Known As

No data available
Imanis Data, DataPlatform, Cohesity Helios
 

Overview

 

Sample Customers

Information Not Available
Navis, 1st Security Bank, Brown University, WestLotto
Find out what your peers are saying about C3 AI vs. Cohesity Data Cloud and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.