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

Informatica and Palantir are both solutions in the Data Integration category. Informatica is ranked #2 with an average rating of 8.0, while Palantir is ranked #51. Informatica holds a 3.7% mindshare in DI, compared to Palantir’s 0.8% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 100% of Palantir users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,813 Views
6,762 Comparison Views

92% willing to recommend

Palantir Gotham

Read 1 Palantir Gotham review

1,018 Views
906 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Palantir Gotham

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud (IDMC) and Palantir Gotham compete in the data management space. Informatic IDMC has the upper hand with its pricing and customer support, while Palantir Gotham's advanced analytical features are appealing for data-driven decision making.

Features: Informatica IDMC offers data integration, cloud-native data management, and ease of use. Palantir Gotham provides comprehensive data analytics, large-scale data modeling, and intelligence-gathering capabilities.

Ease of Deployment and Customer Service: Informatica IDMC features a cloud-based service with simplified deployment and strong customer support. Palantir Gotham requires more resources for deployment but benefits from robust customer service.

Pricing and ROI: Informatica IDMC is a cost-effective solution with a fast return on investment. Palantir Gotham has higher setup costs but offers substantial long-term returns due to its analytical capabilities.

To learn more, read our detailed Data Integration Report (Updated: December 2025).

Buyer's Guide

Data Integration

December 2025

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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

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
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
Palantir Gotham	0.8%
Other	95.5%

Data Integration

Featured Reviews

Divya-Raj

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.

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Wallace Hugh

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.

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Quotes from Members

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

Pros

"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."

"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."

"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."

"The support is very good."

"The data quality component is very good."

"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."

"The most valuable features are the structure masking and platform masking."

"REST API: Excellent for scripting control and reporting mechanisms"

More Informatica Intelligent Data Management Cloud (IDMC) pros

"This solution is seamless. From one platform, we can do just about anything."

Cons

"They need more feature flexibility, as it is not fully developed."

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."

"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."

"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."

"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."

"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

"Informatica should simplify the rules for setting classifications and user access management permissions. It's too complex to define, configure, and make work."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."

Pricing and Cost Advice

"I have heard from customers that the product comes with a huge license cost."

"The product is very expensive"

"We got a 50% discount."

"Informatica MDM's pricetag should come down. They have to cut some costs."

"The solution's pricing model is easy, but it is very expensive."

"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."

"Informatica Cloud Data Quality is a costly solution."

"The licensing price of the product depends on the organization's requirements."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

Retailer

Government

13%

Computer Software Company

11%

University

11%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

No data available

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...

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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...

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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 ...

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Comparisons

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Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

Qlik Talend Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 2% of the time

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Compared 2% of the time

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Compared 57% of the time

Azure Data Factory vs Palantir Gotham

Compared 13% of the time

Collibra Platform vs Palantir Gotham

Compared 11% of the time

FME vs Palantir Gotham

Compared 10% of the time

More Palantir Gotham Competitors

Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

January 2026

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Integration

December 2025

Download Palantir Gotham product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

No data available

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.

Palantir

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: December 2025.

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