No more typing reviews! Try our Samantha, our new voice AI agent.

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
63rd
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
3rd
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 July 2026, in the Data Integration category, the mindshare of ibi Open Data Hub for Mainframe is 0.6%, up from 0.2% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 3.2% 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 Mainframe0.6%
Other97.3%
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."
"Palantir Foundry is one of the most advanced tools right now, in my opinion, and it would take over the world very soon."
"Palantir Foundry has positively impacted my organization mainly by consolidating our data management, so we do not need multiple accounts for different applications and can keep all our data within Palantir Foundry while accessing all applications from there without moving data between locations."
"Previously, the team used to take more than a week to gather data for a particular entity and make it ready for downstream use cases, and that was reduced from seven days to close to 30 to 45 minutes because everything was automated using pipelines and schedules."
"I appreciate multiple aspects of Palantir Foundry, starting with the clean architecture and clean UI, and I really value how easily I can create and test Python and PySpark scripts, trace data lineage to debug issues, monitor daily pipelines and health checks, and quickly build very interactive Workshop applications, all supported by a clean and informative Resource Management UI that helps track costs and data usage."
"Palantir Foundry gives me a unified view of AI and my engineering space while I have been doing a lot of data engineering in a couple of technologies, bringing that data together and stitching them and putting together AI, enabling AI use cases, which makes me see a holistic view of data coming from various platforms."
"Palantir Foundry's AI capabilities, governance, and security are top tier as it is a fully locked environment and is best for government organizations where data security is a major consideration."
"The scalability of Palantir Foundry is the part that I love the most."
"Palantir Foundry has proven to be a great tool in terms of scalability for me, especially compared to Power BI, which felt inadequate, as its scalability depends on the Slate application and I am only limited by my imagination."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"Palantir Foundry needs more resources to understand and train new, incoming resources to understand the basic knowledge of the entire platform."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"With Palantir Foundry, it is a part of the user tools that they provide. Their AI Assist that they use is something I have found that sometimes I get better results for when I do need help and aid."
"I want to pass the certification of Palantir Foundry because it is not easy to find the information regarding this certification, making it not accessible for many people, which I think is not good."
"I choose eight out of ten because the software still needs a lot of updates to make it stable, and today, it is not stable."
"The widgets are pretty limited."
"If you want to create new models on specific data sets, computing that is quite costly."
 

Pricing and Cost Advice

Information not available
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
906,887 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
20%
Performing Arts
13%
Financial Services Firm
10%
Media Company
8%
Manufacturing Company
14%
Financial Services Firm
10%
Government
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise50
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Palantir Foundry?
I think the things that I do not like about Palantir Foundry is not a Palantir issue so much as it is from my company side and what they have commissioned for and have not commissioned for. With Pa...
What is your primary use case for Palantir Foundry?
I use Palantir Foundry to ingest data and create visualizations for decisions.
 

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, Microsoft, Palantir and others in Data Integration. Updated: July 2026.
906,887 professionals have used our research since 2012.