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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
7.3
Number of Reviews
11
Ranking in other categories
Metadata Management (3rd)
Palantir Foundry
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Data Integration (14th), IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (12th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), 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 11.3%, up 10.3% compared to last year.
Palantir Foundry, on the other hand, focuses on Data Integration, holds 3.3% mindshare, up 2.4% 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."
"Except for data quality, everything is perfect."
"The workflows allow the creation of custom workflows based on needs."
"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."
"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."
"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."
"Collibra Catalog's best feature is the data quality checker."
"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 data lineage is great."
"The interface is really user-friendly."
"The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries."
"Great features available in one tool."
"It's scalable."
"The solution offers very good end-to-end capabilities."
"The AI engine that comes with Palantir Foundry is quite interesting."
 

Cons

"In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names."
"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."
"There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"If the price is a bit reduced, that would be better."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"I'd like to see more integration with other reporting sources."
"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."
"If you want to create new models on specific data sets, computing that is quite costly."
"Cost of this solution is quite high."
"The solution could use more online documentation for new users."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"Some error messages can be very cryptic."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
31%
Manufacturing Company
7%
Computer Software Company
7%
Government
7%
Manufacturing Company
13%
Financial Services Firm
9%
Computer Software Company
8%
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 not under my purview as I am an architect. The platform team handles the licensing aspects.
What needs improvement with Collibra Catalog?
I have utilized the sophisticated search capability in Collibra Catalog, and it can be improved by implementing more natural language search capabilities. Currently, we need to enter the asset name...
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?
Apart from the pricing and offline availability issues, improvements are needed in Palantir Foundry's costing factor. Cost-wise, it is not open for everybody, and they are not exposing anything out...
What is your primary use case for Palantir Foundry?
One of the leading European manufacturing plants uses Palantir Foundry for manufacturing interior parts of various car brands such as Honda, Hyundai, Ford, Mercedes-Benz, and BMW. This involves hig...
 

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: July 2025.
865,384 professionals have used our research since 2012.