Try our new research platform with insights from 80,000+ expert users

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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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
2nd
Ranking in Cloud Data Integration
3rd
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) (7th), Business-to-Business Middleware (3rd), API Management (6th), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
Palantir Foundry
Ranking in Data Integration
12th
Ranking in Cloud Data Integration
11th
Ranking in Data Management Platforms (DMP)
1st
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
IT Operations Analytics (10th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.7%, down from 5.5% compared to the previous year. The mindshare of Palantir Foundry is 2.3%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)3.7%
Palantir Foundry2.3%
Other94.0%
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.
SR
Architect at L&T Technology Services
Finds security and customization features impressive, although cost concerns persist
My experience with Palantir Foundry and Azure has been good. Palantir Foundry is costly, but Azure is open, which allows for easier experimentation. Being a closed product, Palantir Foundry is difficult to practice offline unless we have an enterprise edition. However, it is very secure compared to other platforms. Palantir Foundry's best features include security, built-in features, low-code, no-code platform, and ease of use. The collaborative workspaces within Palantir Foundry contribute to team efficiency and project outcomes through seamless operation. The ease of customization is particularly notable. I have worked with the data lineage feature in Palantir Foundry, which comes by default. We simply need to tick the checkbox and make necessary configuration changes within the system itself. We do not need to procure another lineage platform as Palantir Foundry has its own built-in features for data lineage, data governance, and data security. The lineage feature helps enhance our data management practices by allowing us to understand the origin of data, track all activities happening on the data, identify users and consumers, and monitor how it flows across the system. This makes it easier to generate reports based on the lineage database. 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. Using the AIP library within Palantir Foundry helps us develop quick resolutions for predictive models and analytics.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most important features are the mastering of the data and the UI intuitiveness."
"Informatica Intelligent Cloud Services offers a wide variety of services, including Cloud Data Integration, which is akin to a replica of PowerCenter on the cloud. I particularly like the mass ingestion service."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"It provides all the typical MDM capabilities like deduplication and machine survivorship."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"A great product enrichment tool."
"The tool does give a good ROI."
"The interface is really user-friendly."
"It's scalable."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Great features available in one tool."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"The virtualization tool is useful."
"I like the data onboarding to Palantir Foundry and ETL creation."
 

Cons

"Error reporting and debugging need improvement."
"Metadata querying is right now not there in Informatica Cloud Data Integration."
"Its pricing model can be improved. The response time from technical support can also be improved."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"Informatica MDM has a complex user interface, which could be improved."
"The tool is quite good overall, but sometimes the number of modules can be overwhelming. If the development interface could be optimized to have fewer modules, it would be greatly beneficial."
"Informatica is very expensive."
"It is complicated to establish the lineage in EDC using PowerCenter mappings."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Difficult to receive data from external sources."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"Some error messages can be very cryptic."
"Cost of this solution is quite high."
"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."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"The solution's visualization and analysis could be improved."
 

Pricing and Cost Advice

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"We got a 50% discount."
"Its pricing model can be improved."
"I rate the licensing cost of Informatica MDM a five out of ten."
"The licensing price of the product depends on the organization's requirements."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
"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."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
8%
Retailer
7%
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
Computer Software Company
7%
 

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 Enterprise8
 

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?
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

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: January 2026.
881,082 professionals have used our research since 2012.