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Palantir Foundry vs ibi Open Data Hub for Mainframe comparison

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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
64th
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
2nd
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
62
Ranking in other categories
IT Operations Analytics (4th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of ibi Open Data Hub for Mainframe is 0.6%, up from 0.5% compared to the previous year. The mindshare of Palantir Foundry is 2.2%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.2%
ibi Open Data Hub for Mainframe0.6%
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.
reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.

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."
"It's scalable."
"From my experience with Palantir Foundry, the most useful feature is its no-code, low-code environment, allowing me to develop applications without extensive coding, unlike my past as an Oracle developer where I had to write code for various functions."
"Based on my experience, Palantir Foundry is extremely easy to learn and adjust to since it is primarily a closed system, meaning that all the functions for data ingestion, data cleaning, machine learning, and related tasks can be performed from within the same system."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"Palantir Foundry has positively impacted my organization, especially Airbus, as we are dependent on Palantir Foundry for processing the data."
"Palantir Foundry has dramatically helped us in terms of project costing because earlier we had our own React developers team from offshore, and now with the AIP capabilities launched on the platform, we have completely avoided the need for a dedicated team, which has been very helpful in terms of cost management and reducing team size."
"The best features Palantir Foundry offers are the ease of use and the availability of all the different functionalities in a single space, making it a very convenient application to use for varying different purposes such as the workflow I mentioned."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"Difficult to receive data from external sources."
"One way Palantir Foundry can be improved is by addressing issues with back-end changes. There were cases where changes made to Palantir Foundry would cause failures across all platforms."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"Palantir Foundry could be improved by addressing the need for some coding in the Workshop since we cannot expect 100% no-code functionality, especially when dealing with dynamic user input, which requires writing functions in the Code Repository."
"The one area where improvement could be made is the cost of the solution which is quite expensive."
"The solution's visualization and analysis could be improved."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
 

Pricing and Cost Advice

Information not available
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
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Top Industries

By visitors reading reviews
Construction Company
21%
Comms Service Provider
12%
Performing Arts
12%
Financial Services Firm
9%
Manufacturing Company
14%
Financial Services Firm
10%
Comms Service Provider
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise51
 

Questions from the Community

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What needs improvement with Palantir Foundry?
The Workshop application could be improved because it is not very customizable, but it is still very strong. We also have the React OSK apps, but it does not allow the inbuilt applications such as ...
What is your primary use case for Palantir Foundry?
My main use case for Palantir Foundry is to solve business problems, such as in healthcare. I also worked on a project for a law firm where thousands of PDFs were coming in, and we needed to check ...
What advice do you have for others considering Palantir Foundry?
I believe they should get started by completing all the free certificates, then they could apply to the paid certificates to get a master of Palantir Foundry, solve some real use cases, do examples...
 

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 Informatica, Palantir, Microsoft and others in Data Integration. Updated: October 2026.
918,970 professionals have used our research since 2012.