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Cohesity Data Cloud vs Palantir Foundry 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:
 

ROI

Sentiment score
3.3
Cohesity Data Cloud users reported cost savings, time efficiency, enhanced security, scalability, and improved ROI through simplified data management and reduced downtime.
Sentiment score
5.0
Palantir Foundry users reported faster implementation, increased efficiency, streamlined processes, enhanced resources, and improved productivity with comprehensive tools.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
Technical Architect at a tech vendor with 10,001+ employees
The level of confidence that Cohesity Data Cloud delivers to the clients is worth that cost.
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.
Data Engineering Specialist at LTM
We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.
Consultant at a tech vendor with 1,001-5,000 employees
One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
 

Customer Service

Sentiment score
7.2
Cohesity Data Cloud customer service is responsive and reliable, though improvement is needed in legacy systems and issue resolution speed.
Sentiment score
6.2
Palantir Foundry's support is praised for responsiveness and knowledge, though experiences vary; documentation aids self-resolution effectively.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
Evangelist / CTO at fgnext
They need to work faster to meet client requirements, especially when business is affected.
Technical Lead at Cognizant
They probably upstaffed and made sure their knowledge was more up-to-date.
Owner at hq-12b
They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.
Enterprise Architect at a mining and metals company with 10,001+ employees
When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.
Data Analyst at BP Exploration Caspian Sea Ltd
The support staff are extremely knowledgeable and good at what they are doing.
Operations And Integration Chief at a aerospace/defense firm with 10,001+ employees
 

Scalability Issues

Sentiment score
7.4
Cohesity Data Cloud offers seamless scalability and performance improvements, simplifying expansion with flexible resource adjustments and enhancing ROI.
Sentiment score
6.1
Palantir Foundry offers flexibility and scalability, efficiently managing large data, though costs and configuration may impact performance.
Scaling depends on subscription levels - when customers exceed their subscribed storage capacity, they can pay Cohesity to scale the resources.
Subject Matter Expert at Engage IT Services Pvt Ltd
There are no issues with scalability on the cloud end.
Technical Lead at Cognizant
It's easy to add additional nodes to a current existing cluster, making it quite easy to expand.
Owner at hq-12b
We work with large volumes of healthcare data, and it has been able to handle all the large-scale ingestion, transformation, and distributed processing workflows effectively.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
For scalability, I would rate it ten out of ten because you have a lot of flexibility.
Associate Vice President at a insurance company with 10,001+ employees
Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.
Data Engineering Specialist at LTM
 

Stability Issues

Sentiment score
7.6
Cohesity Data Cloud is praised for reliability and efficiency, with stability rated exceptional despite minor hardware and support issues.
Sentiment score
7.6
Palantir Foundry is stable, with occasional issues in data handling, praised for scalability, and generally well-regarded for reliability.
Compared to other tools, it is very efficient and simple to learn.
Technical Lead at Cognizant
I couldn't find anything negative about Cohesity Data Cloud specifically.
Sr. Engineer at a retailer with 501-1,000 employees
Cohesity Data Cloud is quite reliable.
Subject Matter Expert at Engage IT Services Pvt Ltd
Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.
Product Manager
I get more technical support from Palantir.
Data Development Manager at a healthcare company with 5,001-10,000 employees
Palantir Foundry has been a stable and reliable enterprise platform.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
 

Room For Improvement

Cohesity Data Cloud users desire improved documentation, support, and integration, plus cost-effectiveness, security, and enhanced functionality for various needs.
Palantir Foundry users seek better documentation, reduced costs, performance improvements, enhanced UI, and increased flexibility in data integration.
Issues such as ransomware protection and fixing vulnerabilities should be prioritized.
Sr. Engineer at a retailer with 501-1,000 employees
Cohesity Data Cloud scans backups by default for ransomware and malware, sending notifications if there are any security concerns or compromised systems.
Subject Matter Expert at Engage IT Services Pvt Ltd
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
Evangelist / CTO at fgnext
The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
I want to build conversational BI or conversational agents quickly that can connect to MCPs, and other MCPs that I can communicate with in Palantir Foundry, which are areas to advance forward.
Principal Architect at HCLTech
An improvement would be that in case of any changes done by the Palantir team, those changes need to be tested thoroughly so there are no downstream impacts, ensuring that the business is not affected by any modifications in the system.
Engineer, Data Engineering at GlobalFoundries
 

Setup Cost

Cohesity Data Cloud offers value with strong security, structured pricing, and flexibility, despite higher costs than some competitors.
Palantir Foundry's high initial costs deter some, but it's cost-effective long-term; pricing varies for larger enterprises.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
Evangelist / CTO at fgnext
Comparatively, compared to IBM and Commvault, Cohesity Data Cloud offers the best deal for my environment.
Sr. Engineer at a retailer with 501-1,000 employees
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.
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.
Enterprise Architect at a mining and metals company with 10,001+ employees
In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.
Data Development Manager at a healthcare company with 5,001-10,000 employees
We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.
Principal Architect at HCLTech
 

Valuable Features

Cohesity Data Cloud provides scalable, secure data protection with efficient storage, easy integration, and comprehensive management for MSPs.
Palantir Foundry enhances productivity with data modeling, AI integration, security, and collaborative tools for seamless multi-source integration.
It replicates data to the cloud in a tamper-proof manner, offering protection against ransomware attacks since it is not under administrative control.
Evangelist / CTO at fgnext
They have a feature called DataSock, which enhances data protection.
Technical Architect at a tech vendor with 10,001+ employees
The initial deployment of Cohesity Data Cloud, from my experience, is easy.
Sr. Engineer at a retailer with 501-1,000 employees
The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries.
Architect at L&T Technology Services
The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.
Associate Vice President at a insurance company with 10,001+ employees
The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.
Consultant at a tech vendor with 1,001-5,000 employees
 

Categories and Ranking

Cohesity Data Cloud
Ranking in Data Management Platforms (DMP)
7th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Backup and Recovery (19th), Cloud Backup (15th), AI Data Analysis (14th)
Palantir Foundry
Ranking in Data Management Platforms (DMP)
1st
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
59
Ranking in other categories
Data Integration (5th), IT Operations Analytics (5th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of June 2026, in the Data Management Platforms (DMP) category, the mindshare of Cohesity Data Cloud is 3.7%, up from 3.0% compared to the previous year. The mindshare of Palantir Foundry is 13.5%, down from 28.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Management Platforms (DMP) Mindshare Distribution
ProductMindshare (%)
Palantir Foundry13.5%
Cohesity Data Cloud3.7%
Other82.8%
Data Management Platforms (DMP)
 

Featured Reviews

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.
reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
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Top Industries

By visitors reading reviews
Manufacturing Company
17%
Financial Services Firm
14%
Construction Company
11%
Comms Service Provider
6%
Manufacturing Company
14%
Financial Services Firm
9%
Government
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise7
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise49
 

Questions from the Community

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.
What needs improvement with Palantir Foundry?
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For n...
What is your primary use case for Palantir Foundry?
I use Palantir Foundry for my primary use case, which involves building and maintaining end-to-end pipelines and operational data products at UHG for our healthcare analytics team. I work on data i...
What advice do you have for others considering Palantir Foundry?
My advice would be to approach Palantir Foundry as an enterprise operational platform, not just a traditional data tool. The platform delivers the most value when organizations fully leverage its g...
 

Also Known As

Imanis Data, DataPlatform, Cohesity Helios
No data available
 

Overview

 

Sample Customers

Navis, 1st Security Bank, Brown University, WestLotto
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Cohesity Data Cloud vs. Palantir Foundry and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.