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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
19
Ranking in other categories
Data Virtualization (3rd)
Palantir Foundry
Ranking in Data Integration
10th
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 (12th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of April 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 2.0%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.0%
IBM Cloud Pak for Data1.3%
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

"Its data preparation capabilities are highly valuable."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"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."
"IBM Watson Catalog and data pipelines are the most valuable features of the solution."
"The most valuable features are data virtualization and reporting."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"For us, IBM Cloud Pak for Data is the best option on the market at the moment."
"Great features available in one tool."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."
"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 solution offers very good end-to-end capabilities."
"I rate Palantir Foundry a ten out of ten."
"Foundry's data visualization is fantastic."
 

Cons

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output."
"The technical support could be a little better."
"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 initial setup was a little complex. It is not that user-friendly, and it needs quite a bit of expertise to install, the installation between various different vendors is even more difficult, such as deploying it on the IBM Cloud is relatively easier than having it installed in Amazon AWS or Microsoft Azure, or similar cloud service."
"IBM Cloud Pak for Data uses a lot of resources and it is not very resource-economic."
"The product must improve its performance."
"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."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"The one area where improvement could be made is the cost of the solution which is quite expensive."
"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 workflow could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Some error messages can be very cryptic."
 

Pricing and Cost Advice

"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."
"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."
"I think that this product is too expensive for smaller companies."
"The solution is expensive."
"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's pricing is competitive with that of other vendors."
"It's quite expensive."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"It's expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
10%
Computer Software Company
7%
Government
5%
Manufacturing Company
13%
Financial Services Firm
10%
Government
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
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?
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.
886,932 professionals have used our research since 2012.