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Palantir Foundry vs erwin Data Catalog 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

erwin Data Catalog
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
Metadata Management (13th)
Palantir Foundry
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
Data Integration (13th), IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

erwin Data Catalog and Palantir Foundry aren’t in the same category and serve different purposes. erwin Data Catalog is designed for Metadata Management and holds a mindshare of 3.2%, up 2.4% compared to last year.
Palantir Foundry, on the other hand, focuses on Data Integration, holds 2.1% mindshare, down 2.8% since last year.
Metadata Management Mindshare Distribution
ProductMindshare (%)
erwin Data Catalog3.2%
Collibra Platform17.1%
Informatica Intelligent Data Management Cloud (IDMC)13.5%
Other66.2%
Metadata Management
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.1%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other90.6%
Data Integration
 

Featured Reviews

Andres-Martinez - PeerSpot reviewer
BI Data Analytics Engineer at Targa Research
Helps with metadata management, saves time, and allows us to do impact analysis on any changes
There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names. There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen. That can also be improved. They need some caching and some parallel pipelines working on the backend in order to divide it into sections.
BA
Associate Vice President at a insurance company with 10,001+ employees
Unified data workflows have empowered collaborative analytics and streamlined AI development
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

Quotes from Members

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

Pros

"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"The data catalog feature is pretty good."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"It's scalable."
"The data lineage is great."
"The AI engine that comes with Palantir Foundry is quite interesting."
"Great features available in one tool."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
 

Cons

"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"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."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"Cost of this solution is quite high."
"If you want to create new models on specific data sets, computing that is quite costly."
"I rate Palantir Foundry five out of 10. I'm ambivalent."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
 

Pricing and Cost Advice

"Erwin Data Catalog is very expensive."
"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry is an expensive solution."
"Palantir Foundry has different pricing models that can be negotiated."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Construction Company
10%
Manufacturing Company
8%
Government
8%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
 

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
What needs improvement with Palantir Foundry?
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have wo...
What is your primary use case for Palantir Foundry?
There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...
What advice do you have for others considering Palantir Foundry?
The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...
 

Overview

 

Sample Customers

Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: April 2026.
893,221 professionals have used our research since 2012.