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: January 2026).

Buyer's Guide

Data Integration

January 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) (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

"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."

"The technical support services are good."

"The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy."

"Informatica MDM has data quality, mastering the data's capability."

"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."

"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."

"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."

"The quality of the data improves with Informatica Cloud Data Quality."

More Informatica Intelligent Data Management Cloud (IDMC) pros

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

Cons

"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."

"Connectivity could be improved, it can be a little slow."

"The integration could be a bit better. The process is something new."

"I need to have some insight into the tool's cloud capabilities."

"The user interface can be a bit more functionality-aligned."

"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."

"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."

"It could be improved by including a buffer that saves data when there is a connectivity issue."

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 rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."

"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."

"The price is high, but the competitors are even higher, like Collibra."

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."

"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."

"Informatica MDM's price could be lower."

"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 pricing is high compared to other tools on the market."

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?

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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Compared 4% of the time

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

Semarchy xDM vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 2% of the time

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

Compared 2% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Palantir Foundry vs Palantir Gotham

Compared 57% of the time

Azure Data Factory vs Palantir Gotham

Compared 12% of the time

Collibra Platform vs Palantir Gotham

Compared 12% 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

January 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: January 2026.

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