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Collibra Catalog vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive Summary

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

Collibra Catalog
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
Metadata Management (3rd)
Palantir Foundry
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
15
Ranking in other categories
Data Integration (19th), IT Operations Analytics (9th), Supply Chain Analytics (1st), Cloud Data Integration (14th), Data Migration Appliances (4th), Data Management Platforms (DMP) (2nd), Data and Analytics Service Providers (1st)
 

Mindshare comparison

Collibra Catalog and Palantir Foundry aren’t in the same category and serve different purposes. Collibra Catalog is designed for Metadata Management and holds a mindshare of 12.0%, up 9.5% compared to last year.
Palantir Foundry, on the other hand, focuses on Data Integration, holds 2.7% mindshare, up 2.6% since last year.
Metadata Management
Data Integration
 

Featured Reviews

Tejbir Singh - PeerSpot reviewer
Facilitates data quality monitoring and AI governance with a complete suite of tools
When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.
Rama Subba Reddy Thavva - PeerSpot reviewer
A low-code/no-code platform with a user-friendly UI
We couldn't implement or use some of the latest functionalities, like Spark. Palantir Foundry is scalable, but it is costly compared to other cloud providers. The solution is more suitable for small and medium businesses. It might be difficult for large enterprises. I rate the solution’s scalability a seven out of ten.

Quotes from Members

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

Pros

"Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams."
"We have had no complaints about the stability."
"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."
"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."
"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."
"Except for data quality, everything is perfect."
"Collibra Catalog's best feature is the data quality checker."
"The workflows allow the creation of custom workflows based on needs."
"It's scalable."
"The virtualization tool is useful."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The interface is really user-friendly."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"The AI engine that comes with Palantir Foundry is quite interesting."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
 

Cons

"I'd like to see more integration with other reporting sources."
"If the price is a bit reduced, that would be better."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"If you want to create new models on specific data sets, computing that is quite costly."
"The solution’s data security could be improved."
"The solution could use more online documentation for new users."
"The solution's visualization and analysis could be improved."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
 

Pricing and Cost Advice

"The product is highly priced compared to other vendors."
"Collibra offers a per-user licensing model."
"I think they can bring a few more features and align better with other quality products."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"It's expensive."
"The solution’s pricing is high."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
11%
Manufacturing Company
6%
Healthcare Company
6%
Manufacturing Company
14%
Financial Services Firm
10%
Computer Software Company
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Collibra Catalog?
The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in C...
What is your experience regarding pricing and costs for Collibra Catalog?
Pricing is definitely one of the costliest in the data catalog market. It competes with the likes of Informatica in terms of price. It is best suited for established Fortune 500 companies.
What needs improvement with Collibra Catalog?
Collibra is working on making the latest version more user-intuitive. The previous versions were easier for technical resources to use, however, not so much for business people who are not tech-sav...
What do you like most about Palantir Foundry?
Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.
What needs improvement with Palantir Foundry?
The solution’s data security could be improved. We cannot use many Python packages with the solution. We were able to use only a few compatible Python packages.
What is your primary use case for Palantir Foundry?
Our use cases are mostly related to data analytics. We are building some dashboards and ETL pipelines on the Palantir side. Palantir Foundry is a low-code/no-code platform with a user-friendly UI. ...
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management. Updated: March 2025.
842,388 professionals have used our research since 2012.