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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
19th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
20
Ranking in other categories
Data Virtualization (3rd)
Palantir Foundry
Ranking in Data Integration
13th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.2%, down from 1.8% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 2.8% 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 Data1.2%
Other96.7%
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

"The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good, the customers I have are all very happy, they are looking for expansion, and the experience is very good with it, providing them with the results needed and more."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"IBM Cloud Pak for Data is a great tool because if you need to connect to or get data from multiple data sources, it is the best solution, enabling data-driven decisions that are very accurate."
"DataStage allows me to connect to different data sources."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."
"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."
"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."
"Foundry's data visualization is fantastic."
"Great features available in one tool."
"I rate Palantir Foundry a ten out of ten."
"The virtualization tool is useful."
"The data lineage is great."
"The solution offers very good end-to-end capabilities."
 

Cons

"The technical support could be a little better."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output."
"The solution's user experience is an area that has room for improvement."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"The solution's catalog searching or map search needs to be improved."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The setup for IBM Cloud Pak for Data is very complex, and our teams responsible for standing up the environment struggled a lot."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"The solution’s data security could be improved."
"Difficult to receive data from external sources."
"The frontend capabilities of Palantir Foundry could be improved."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"The one area where improvement could be made is the cost of the solution which is quite expensive."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"I rate Palantir Foundry five out of 10. I'm ambivalent."
 

Pricing and Cost Advice

"Cloud Pak's cost is a little high."
"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."
"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."
"The solution's pricing is competitive with that of other vendors."
"It's quite expensive."
"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."
"I think that this product is too expensive for smaller companies."
"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
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Large Enterprise17
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise13
 

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 see room for improvement in IBM Cloud Pak for Data, as it lacked the lake house. However, IBM issued the new product which is Watsonx.data. This is a new product for IBM and it provides all the m...
What is your primary use case for IBM Cloud Pak for Data?
I believe IBM Cloud Pak for Data is suitable for mid-size to bigger companies. It is not tailored for smaller customers. My customers use IBM DataStage for ETL processes. One client has implemented...
What needs improvement with Palantir Foundry?
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 wo...
What is your primary use case for Palantir Foundry?
There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...
What advice do you have for others considering Palantir Foundry?
The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...
 

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: April 2026.
894,830 professionals have used our research since 2012.