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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:
 

ROI

Sentiment score
5.4
IBM Cloud Pak for Data optimizes operations, improves compliance, and enhances decision-making for larger companies, offering competitive advantages.
Sentiment score
5.4
Organizations praise Palantir Foundry's user efficiency, noting reduced costs and processes despite challenges measuring precise financial returns.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
It has given my teams an edge in data management through automation while adhering to compliance regulations.
Sr. Data Engineer at LTM
With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.
Data Engineering Specialist at LTM
We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.
Consultant at a tech vendor with 1,001-5,000 employees
I haven't seen a return on investment with Palantir Foundry.
Data Development Manager at a healthcare company with 5,001-10,000 employees
 

Customer Service

Sentiment score
7.4
IBM Cloud Pak for Data support is generally responsive and cost-effective, with room for improvement in level one support.
Sentiment score
7.2
Users appreciate Palantir Foundry's responsive support but desire more immediate solutions and enhanced knowledge resources.
I rate the technical support from IBM a nine out of ten because the support has been very top-notch, unparalleled, and also very professional.
Manager at Teshama Group
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.
Enterprise Architect at a mining and metals company with 10,001+ employees
Whenever Palantir Foundry introduces a new product, the Palantir people come and train us on new applications.
Associate Vice President at a insurance company with 10,001+ employees
They provided support and managed all incidents, and we gave them our feedback so they could communicate directly with Palantir Foundry's development team.
Data Ops Engineer at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
6.8
IBM Cloud Pak for Data is praised for scalability and expansion, despite being resource-intensive, by over 500 users.
Sentiment score
7.3
Palantir Foundry is scalable and flexible for businesses, but can be costly, requiring careful management to avoid performance issues.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
For scalability, I rate it a nine out of ten because it is a very scalable solution that has been able to handle my organization's growth efficiently.
Manager at Teshama Group
For scalability, I would rate it ten out of ten because you have a lot of flexibility.
Associate Vice President at a insurance company with 10,001+ employees
Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.
Data Engineering Specialist at LTM
Scalability is good.
Consultant at a tech vendor with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.8
IBM Cloud Pak for Data is considered stable, integrating smoothly with tools and performing reliably, especially in ETL processes.
Sentiment score
8.0
Palantir Foundry is praised for stability and reliability, efficiently handling large datasets, with minor occasional issues.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
IBM Cloud Pak for Data is stable.
Sr. Data Engineer at LTM
I get more technical support from Palantir.
Data Development Manager at a healthcare company with 5,001-10,000 employees
 

Room For Improvement

IBM Cloud Pak for Data needs improved integration, reduced resource use, better support, and streamlined features to enhance user experience.
Palantir Foundry faces high costs, scalability issues, and usability challenges, needing better integration, security, and improved documentation.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
Palantir Foundry also needs to change the traditional data management approach from one-directional to bi-directional, near real-time data flow everywhere, which they address through data virtualization.
Enterprise Architect at a mining and metals company with 10,001+ employees
The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users.
Architect at L&T Technology Services
Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions.
Associate Vice President at a insurance company with 10,001+ employees
 

Setup Cost

IBM Cloud Pak for Data is costly but offers value for large enterprises with flexible, negotiable pricing for substantial projects.
Palantir Foundry's high upfront cost is offset by long-term savings and improved data management for many organizations.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.
Enterprise Architect at a mining and metals company with 10,001+ employees
In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.
Data Development Manager at a healthcare company with 5,001-10,000 employees
I worked closely with a management colleague who explained how they check for cost based on user activity and individual vertical usage.
Data Engineering Specialist at LTM
 

Valuable Features

IBM Cloud Pak for Data enhances productivity with AI, data governance, cloud flexibility, and robust analytics tools for decision-making.
Palantir Foundry enhances data analysis and collaboration with user-friendly tools, security, and scalable, centralized data management features.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
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.
Senior Data Analyst at Wipro Limited
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.
Architect at L&T Technology Services
The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.
Associate Vice President at a insurance company with 10,001+ employees
The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.
Consultant at a tech vendor with 1,001-5,000 employees
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
19th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
21
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
23
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

Raman Shihan - PeerSpot reviewer
Sr. Data Engineer at LTM
Unified data workflows have transformed how I manage sensitive analytics and end-to-end AI
One of the things that IBM Cloud Pak for Data does well is the data privacy and security that it offers. Since most of my data is very sensitive, IBM privacy framework helps me secure it very conveniently. In my experience, some of the best features that I encounter in IBM Cloud Pak for Data are the AI and Watson Assistant, which is very good. The analytics dashboard featuring all the recent history is very good with IBM. Searching for data through the unified search option is super cool. Among those features, the artificial intelligence that solves everything automatically stands out as most valuable in my day-to-day work, saving a lot of time. I can also store my data in many clouds with all the desired data. The customer service system is excellent and always willing to help. I would also add that the project analytics dashboard, ability to manage data across different cloud platforms, and end-to-end AI lifecycle are very great. IBM Cloud Pak for Data has positively impacted my organization by helping me see some return on investments. I have the ability to access all my data much quicker through the unified search option. It has also improved data security and governance in my organization very well. I've seen a 30% increase in productivity through the introduction of AI with IBM Cloud Pak for Data, which has really simplified a lot of operations that were manually tackled.
reviewer2845668 - PeerSpot reviewer
Data Development Manager at a healthcare company with 5,001-10,000 employees
Data pipelines have improved reporting workflows but raise concerns about ethics and future lock in
I wouldn't add more about the needed improvements, either on the technical side or regarding compatibility and integration.Obviously the company's reputation needs to be improved regarding Palantir Foundry, or ideally, Palantir needs to get away from the appalling views on human rights and improve the reputation. Whether it can be improved, I don't know. This is not a technological problem; it is a problem of company image, so I wouldn't be surprised if the NHS actually triggers a break clause in the contract in February next year. That is not linked to the product itself. From a technical perspective, maybe to make Palantir Foundry more compatible with Databricks could be one option, or maybe more integrated with Azure. It is difficult to say because they might lose some of their competitive advantage in doing so.
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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
10%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Large Enterprise18
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise18
 

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.
896,034 professionals have used our research since 2012.