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Informatica Intelligent Data Management Cloud (IDMC) vs Palantir Gotham 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
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 (2nd), API Management (5th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), 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 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 April 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.5%, down from 4.9% 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 Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)3.5%
Palantir Gotham0.8%
Other95.7%
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

"I like the fact that you can find almost any product connection that you need and the list is always expanding."
"It provides all the typical MDM capabilities like deduplication and machine survivorship."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."
"Informatica Cloud Data Integration is stable."
"Scalability is on par or better than any other solution on the market, with one of our customers having over 21 million SKUs in PIM and others having hundreds of international users."
"The user interface is flexible and the visibility of the data flow is amazing."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"This solution is seamless; from one platform, we can do just about anything."
"This solution is seamless. From one platform, we can do just about anything."
 

Cons

"The vendor should have more training resources: online classes, free tutorial videos, etc."
"I would like to see support for more data sources."
"Right now, although they offer some templates, I would want more templates available to be imported."
"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."
"Metadata querying is right now not there in Informatica Cloud Data Integration."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"The tool should provide a unified user interface to manage the data objects."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
 

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."
"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 licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"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 price of Informatica Cloud Data Integration could be reduced."
"The solution's pricing model is easy, but it is very expensive."
"Its pricing model can be improved."
"We got a 50% discount."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
7%
Retailer
6%
Government
13%
Computer Software Company
10%
Retailer
9%
Comms Service Provider
7%
 

Company Size

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

Questions from the Community

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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 Informatica, Microsoft, Qlik and others in Data Integration. Updated: March 2026.
887,041 professionals have used our research since 2012.