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Cloudera Data Platform vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 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

Cloudera Data Platform
Ranking in Data Management Platforms (DMP)
4th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Cloud Master Data Management (MDM) (8th), AI Data Analysis (12th)
Palantir Foundry
Ranking in Data Management Platforms (DMP)
1st
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Data Integration (12th), IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (11th), Data Migration Appliances (3rd), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of January 2026, in the Data Management Platforms (DMP) category, the mindshare of Cloudera Data Platform is 7.6%, up from 0.6% compared to the previous year. The mindshare of Palantir Foundry is 15.6%, down from 31.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Management Platforms (DMP) Market Share Distribution
ProductMarket Share (%)
Palantir Foundry15.6%
Cloudera Data Platform7.6%
Other76.8%
Data Management Platforms (DMP)
 

Featured Reviews

T Sarwar - PeerSpot reviewer
Data architect at SentientAI, Karachi
Has enabled efficient big data processing and querying but remains complex to manage and configure
Cloudera Data Platform should use fewer tools and remove the complexity between them. It should make it easier for the end user to change the configuration and understand it better. The UI tool for jobs in Cloudera Data Platform can be improved to provide a proper image of ETL jobs and detailed consolidated graphs to monitor Spark-based Hue jobs.
SR
Architect at L&T Technology Services
Finds security and customization features impressive, although cost concerns persist
My experience with Palantir Foundry and Azure has been good. Palantir Foundry is costly, but Azure is open, which allows for easier experimentation. Being a closed product, Palantir Foundry is difficult to practice offline unless we have an enterprise edition. However, it is very secure compared to other platforms. Palantir Foundry's best features include security, built-in features, low-code, no-code platform, and ease of use. The collaborative workspaces within Palantir Foundry contribute to team efficiency and project outcomes through seamless operation. The ease of customization is particularly notable. I have worked with the data lineage feature in Palantir Foundry, which comes by default. We simply need to tick the checkbox and make necessary configuration changes within the system itself. We do not need to procure another lineage platform as Palantir Foundry has its own built-in features for data lineage, data governance, and data security. The lineage feature helps enhance our data management practices by allowing us to understand the origin of data, track all activities happening on the data, identify users and consumers, and monitor how it flows across the system. This makes it easier to generate reports based on the lineage database. 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. Using the AIP library within Palantir Foundry helps us develop quick resolutions for predictive models and analytics.

Quotes from Members

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

Pros

"Cloudera Data Platform is a perfect tool to manage such vast amounts of big data, store it properly, query it, and move it from one end to another."
"My main use case for Cloudera Data Platform is to support a multi-source system with different data types, handling semi-structured, structured, and unstructured data to support those kinds of workloads."
"Cloudera Data Platform has impacted my organization positively in many ways, especially for banking customers, by providing a robust capability to handle structured and unstructured data via features like PDF extraction and speech-to-text conversion for analytics."
"The data platform is pretty neat. The workflow is also really good."
"Cloudera Data Platform has significantly improved our data management."
"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."
"The best features Cloudera Data Platform offers are the processing power with Spark and the distributed data storage, HDFS, which helps us handle massive volumes of data."
"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"The virtualization tool is useful."
"I like the data onboarding to Palantir Foundry and ETL creation."
"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."
"The AI engine that comes with Palantir Foundry is quite interesting."
"It's scalable."
"The solution offers very good end-to-end capabilities."
 

Cons

"We face downtime and reliability issues many times a week with Cloudera Data Platform because it is a very complex system and all configurations are managed by the end user."
"Cloudera Data Platform could improve by innovating more in terms of full-fledged support for AI workloads, enriching machine learning or LLM, as there haven't been updates in that aspect over the last one and a half years."
"That said, there’s still room for improvement in integration speed and UI responsiveness, especially when managing large clusters or hybrid deployments."
"The initial setup may take several hours or days, depending on the challenges faced during installation. It's not always a smooth process due to potential complexities."
"We face downtime and reliability issues many times a week with Cloudera Data Platform because it is a very complex system and all configurations are managed by the end user."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"The cost of the solution is high and there is room for improvement."
"More information could be there to simplify the process of running the product."
"The solution's visualization and analysis could be improved."
"The solution’s data security could be improved."
"Some error messages can be very cryptic."
"If you want to create new models on specific data sets, computing that is quite costly."
"The workflow could be improved."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"The solution could use more online documentation for new users."
"Cost of this solution is quite high."
 

Pricing and Cost Advice

"It is priced well and it is affordable"
"Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"The solution’s pricing is high."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
Manufacturing Company
10%
Performing Arts
10%
Financial Services Firm
9%
Transportation Company
7%
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise26
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for Hortonworks Data Platform?
The experience with pricing, setup cost, and licensing is very good.
What needs improvement with Hortonworks Data Platform?
Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful ...
What is your primary use case for Hortonworks Data Platform?
Cloudera Data Platform on AWS was adopted as the core enterprise data platform, covering the full data lifecycle from ingestion to analytics and advanced use cases. Cloudera Data Platform was used ...
What needs improvement with Palantir Foundry?
Apart from the pricing and offline availability issues, improvements are needed in Palantir Foundry's costing factor. Cost-wise, it is not open for everybody, and they are not exposing anything out...
What is your primary use case for Palantir Foundry?
One of the leading European manufacturing plants uses Palantir Foundry for manufacturing interior parts of various car brands such as Honda, Hyundai, Ford, Mercedes-Benz, and BMW. This involves hig...
What advice do you have for others considering Palantir Foundry?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
 

Overview

 

Sample Customers

Information Not Available
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
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