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Informatica Intelligent Data Management Cloud (IDMC) vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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

Informatica Intelligent Dat...
Ranking in Data Integration
1st
Ranking in Cloud Data Integration
2nd
Ranking in Data Management Platforms (DMP)
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), API Management (5th), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
Palantir Foundry
Ranking in Data Integration
13th
Ranking in Cloud Data Integration
10th
Ranking in Data Management Platforms (DMP)
1st
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
IT Operations Analytics (8th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 4.7% 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 (%)
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Palantir Foundry2.1%
Other94.3%
Data Integration
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
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

"The most valuable features are the structure masking and platform masking."
"The features for data quality, data cataloging, and UI are excellent."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"Now that we run all the addresses through AddressDoctor, we know what is a deliverable address and what is not, and we see the suggestion list for the addresses which are not deliverable."
"I think that it's a good solution...It is stable because we have the experience to deploy this solution."
"I used IBM InfoSphere before but Informatica is much, much better; gold standard."
"The solution offers good data governance."
"I would absolutely recommend this solution to others."
"It's scalable."
"The solution offers very good end-to-end capabilities."
"The interface is really user-friendly."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."
"Foundry's data visualization is fantastic."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
 

Cons

"The error information provided is not informative, as compared to Power Center."
"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."
"It would be great if the cloud version could match the full range of capabilities available on-premise."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"It is not easy to set up and configure the tool."
"The UI is extremely complex"
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"In terms of data volume processing, Intelligent Cloud Services does not match the efficiency of Power Center."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"The one area where improvement could be made is the cost of the solution which is quite expensive."
"If you want to create new models on specific data sets, computing that is quite costly."
"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."
"The solution could use more online documentation for new users."
"The workflow could be improved."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"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."
 

Pricing and Cost Advice

"The price is high, but the competitors are even higher, like Collibra."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Retailer
7%
Computer Software Company
7%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
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

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Palantir Foundry and other solutions. Updated: April 2026.
893,244 professionals have used our research since 2012.