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IBM Cloud Pak for Data vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

IBM Cloud Pak for Data
Ranking in Data Integration
16th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
18
Ranking in other categories
Data Virtualization (3rd)
Palantir Foundry
Ranking in Data Integration
12th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (11th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.7% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.1%
IBM Cloud Pak for Data1.3%
Other96.6%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
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

"IBM Cloud Pak for Data is a powerful cloud-native all-in-one easy-to-use solution that enables us to put data to work quickly and effectively."
"I would advise others looking into using IBM Cloud Pak for Data that it is a very great tool that is an all-in-one, real-time data analytics solution that provides a phenomenal user experience."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"Its data preparation capabilities are highly valuable."
"For us, IBM Cloud Pak for Data is the best option on the market at the moment."
"DataStage allows me to connect to different data sources."
"IBM Watson Catalog and data pipelines are the most valuable features of the solution."
"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"I rate Palantir Foundry a ten out of ten."
"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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"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."
"I like the data onboarding to Palantir Foundry and ETL creation."
"The AI engine that comes with Palantir Foundry is quite interesting."
 

Cons

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."
"The technical support could be a little better."
"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."
"The solution's catalog searching or map search needs to be improved."
"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"The two main challenges that I face are setup complexity and customer support responsiveness."
"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"The workflow could be improved."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"The solution's visualization and analysis could be improved."
"The solution could use more online documentation for new users."
"Difficult to receive data from external sources."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
 

Pricing and Cost Advice

"It's quite expensive."
"I think that this product is too expensive for smaller companies."
"The solution's pricing is competitive with that of other vendors."
"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
"Cloud Pak's cost is a little high."
"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
"The solution is expensive."
"It's expensive."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
10%
Computer Software Company
8%
Government
5%
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
Large Enterprise15
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...
What needs improvement with IBM Cloud Pak for Data?
I think we are happy with IBM Cloud Pak for Data, and there is no specific idea that comes to my mind regarding room for improvement. We are following the progress and the new features, so overall ...
What is your primary use case for IBM Cloud Pak for Data?
I usually recommend IBM Cloud Pak for Data for companies in the financial sector, as we are mostly working with local insurance companies and banks within Hungary where we are located. For IBM Clou...
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.
 

Also Known As

Cloud Pak for Data
No data available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about IBM Cloud Pak for Data vs. Palantir Foundry and other solutions. Updated: March 2026.
884,797 professionals have used our research since 2012.