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Palantir Foundry vs ibi Open Data Hub for Mainframe comparison

 

Comparison Buyer's Guide

Executive Summary

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

ibi Open Data Hub for Mainf...
Ranking in Data Integration
60th
Average Rating
10.0
Reviews Sentiment
5.4
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Palantir Foundry
Ranking in Data Integration
11th
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 ibi Open Data Hub for Mainframe is 0.7%, up from 0.2% 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%
ibi Open Data Hub for Mainframe0.7%
Other97.2%
Data Integration
 

Featured Reviews

it_user3876 - PeerSpot reviewer
Database Manager at a tech company with 51-200 employees
Provides High Reliability and Data Security
• Data in the datahub refreshes nightly. As the data only refreshes once every day, it is necessary to have to wait for any changes to thesource systems to become available.The daily refresh can be extremely useful for reconciling data. • DataHub only displays details of current members of the Organization. So it has much limited data available for generation of dynamic reports. • DataHub is volatile. The records are completely re-loaded each day. It puts burden on the system. • There are very few summary tables available due to storage of data in a detailed format. • The detailed information is not stored in the DataHub. It is stored in the relevant source system. Only commonly required data is stored within the DataHub.
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

"All staff members and users can request an account which can be accessed from all PCs on the company’s network."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"The AI engine that comes with Palantir Foundry is quite interesting."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"This product has all the various components for getting data, transforming it and visually creating the dashboards without the need to integrate things and no need to check the compatibility."
"Foundry's data visualization is fantastic."
"I rate Palantir Foundry a ten out of ten."
"The interface is really user-friendly."
"The virtualization tool is useful."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"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."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"The solution’s data security could be improved."
"The solution could use more online documentation for new users."
"I rate Palantir Foundry five out of 10. I'm ambivalent."
"The one area where improvement could be made is the cost of the solution which is quite expensive."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Difficult to receive data from external sources."
 

Pricing and Cost Advice

Information not available
"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
No data available
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
 

Questions from the Community

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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

iWay Data Hub, Data Hub, Information Builders Data Hub
No data available
 

Overview

 

Sample Customers

Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration. Updated: March 2026.
885,286 professionals have used our research since 2012.