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 3.5% 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

22,811 Views
6,843 Comparison Views

92% willing to recommend

Palantir Gotham

Read 1 Palantir Gotham review

1,081 Views
962 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: February 2026).

Buyer's Guide

Data Integration

February 2026

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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) (6th), Business-to-Business Middleware (2nd), 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 (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), 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 February 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.5%, down from 5.3% 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)	3.5%
Palantir Gotham	0.8%
Other	95.7%

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

"The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."

"Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development."

"We can scan anything."

"I have rated the stability a ten out of ten due to a high level of satisfaction."

"Initial setup was fairly easy."

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

"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."

"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."

More Informatica Intelligent Data Management Cloud (IDMC) pros

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

Cons

"The solution should improve its integration."

"The integration process is not easy."

"There is room for improvement in the Data Marketplace aspect."

"The product isn't mature enough to provide suitable connectors to various data engines."

"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."

"I have encountered some issues using the substitution, which is one of the techniques of data masking."

"Synchronicity is an area for improvement in Informatica Intelligent Cloud Services. For example, when you want real-time or immediate response from the solution when multiple technologies are involved, the integration with Informatica Intelligent Cloud isn't seamless, whether it's the MQ, JMS, or BES service, so the connectivity should be improved a bit. The data governance is good, but what's lacking is a demo. For example, if there's a new feature in Informatica Intelligent Cloud Services, the documentation for that new feature is limited, so if Informatica could give a more complete documentation and more demos, that would be better for the users. Right now, there isn't any issue with any of the features of the solution. It's the new feature awareness or user training, and improved connectivity that I'd like to see in the next version of Informatica Intelligent Cloud Services."

"Support response time could be better."

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

"It's pretty high for us. It's more on the higher side, like low to middle high."

"It is an expensive solution. I would say it is the most expensive solution in the market."

"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."

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

"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."

"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."

"The pricing model is something that can be improved."

"The price is neither too high nor too low."

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

14%

Manufacturing Company

11%

Computer Software Company

Retailer

Government

13%

Computer Software Company

11%

Retailer

University

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?

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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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Compared 49% of the time

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Compared 10% of the time

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Compared 9% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

February 2026

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Data Integration

February 2026

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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: February 2026.

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