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Informatica Intelligent Data Management Cloud (IDMC) vs Palantir Gotham 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
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), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), 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 Gotham
Ranking in Data Integration
51st
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

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 Gotham is 0.8%, up from 0.4% 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 Gotham0.8%
Other95.5%
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.
WH
Manager at a tech services company with 201-500 employees
A seamless all-in-one solution
This solution is seamless. From one platform, we can do just about anything. With other solutions, you'll need a separate platform for data ingestion, manipulation, etc. Then you'll need another tool for reporting. Palantir Gotham literally does it all. It generates a report regardless of the format. It can seamlessly generate it after the data has been collected.

Quotes from Members

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

Pros

"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."
"The solution's initial setup is quite straightforward."
"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."
"The serverless capability and the packaging application of the solution are valuable."
"Informatica Business Process Manager is easy to use and learn."
"I rate the technical support a ten out of ten."
"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."
"The user-friendliness and performance of Informatica is quite impressive."
"This solution is seamless. From one platform, we can do just about anything."
 

Cons

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"They need more feature flexibility, as it is not fully developed."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"Compared to other tools in the market, Informatica MDM is costly."
"Error analysis becomes difficult as finding the exact location of the error in the logs is challenging."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
 

Pricing and Cost Advice

"The price of Informatica Cloud Data Integration could be reduced."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"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."
"The pricing model is something that can be improved."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
8%
Retailer
7%
Government
13%
Computer Software Company
11%
Retailer
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
No data available
 

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Also Known As

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

Overview

 

Sample Customers

The Travel Company, Carbonite
Team Rubicon, CGI
Find out what your peers are saying about Microsoft, Informatica, IBM and others in Data Integration. Updated: January 2026.
881,082 professionals have used our research since 2012.