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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) (7th), AI Data Analysis (8th)
Palantir Foundry
Ranking in Data Management Platforms (DMP)
1st
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
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 March 2026, in the Data Management Platforms (DMP) category, the mindshare of Cloudera Data Platform is 8.8%, up from 1.4% compared to the previous year. The mindshare of Palantir Foundry is 15.4%, down from 32.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Management Platforms (DMP) Mindshare Distribution
ProductMindshare (%)
Palantir Foundry15.4%
Cloudera Data Platform8.8%
Other75.8%
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.
BA
Associate Vice President at a insurance company with 10,001+ employees
Unified data workflows have empowered collaborative analytics and streamlined AI development
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

Quotes from Members

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

Pros

"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."
"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 scalability is the key reason why we are on this platform."
"The upgrades and patches must come from Hortonworks."
"Hortonworks should not be expensive at all to those looking into using it."
"It's the one and only complete open source big data platform Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc."
"With it, we have faster processing times for our apps."
"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."
"I like the data onboarding to Palantir Foundry and ETL creation."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"Great features available in one tool."
"Based on my huge experience with Palantir Foundry, I find that starting from the data connection to the end user application, there is a tool for everyone."
"The data lineage is great."
"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 solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The interface is really user-friendly."
 

Cons

"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
"The only issue that I had was when I tried to reinstall the software on every node."
"It requires too much coding work; we're not good Java and Python developers."
"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 can be improved in several areas. I recently attended their roadmap session. Whatever limitations they have identified involve moving data from on-premises to cloud as a single-pane view and better lineage."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"That said, there’s still room for improvement in integration speed and UI responsiveness, especially when managing large clusters or hybrid deployments."
"A major drawback that I see with Cloudera Data Platform is that it tends to be one or two years behind the latest open-source implementation of the Apache toolkits such as Spark, Hive, and everything else, which relates to the guardrails of following compliance as the main driving factor, so that is something that could be done better on Cloudera Data Platform's side."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"The solution's visualization and analysis could be improved."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"The workflow could be improved."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"The frontend capabilities of Palantir Foundry could be improved."
 

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."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"It's expensive."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Marketing Services Firm
10%
Performing Arts
8%
Financial Services Firm
7%
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
University
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 Enterprise9
 

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
Find out what your peers are saying about Cloudera Data Platform vs. Palantir Foundry and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.