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Collibra Platform vs erwin Data Catalog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 9, 2025

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 Platform
Ranking in Metadata Management
1st
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
75
Ranking in other categories
Data Governance (2nd), AI Governance (1st)
erwin Data Catalog
Ranking in Metadata Management
13th
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Metadata Management category, the mindshare of Collibra Platform is 18.4%, down from 23.7% compared to the previous year. The mindshare of erwin Data Catalog is 3.1%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Market Share Distribution
ProductMarket Share (%)
Collibra Platform18.4%
erwin Data Catalog3.1%
Other78.5%
Metadata Management
 

Featured Reviews

reviewer2774796 - PeerSpot reviewer
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
Data governance has unified definitions and saves audit preparation time across the enterprise
A separate team did the setup for this tool and was involved in setting it up. When they were doing the setup, it was a significant upfront investment in terms of the configuration, modeling, and governance design because the team first had to define the domains, the assets, and the roles. That takes time, and in the insurance environment where we had many legacy systems, this increased the setup effort. It would be helpful if Collibra Platform could have industry specific starter templates that could accelerate adoption. As we ingested more and more metadata, sometimes the catalog searches became slower by a fraction of a second because there was more metadata in the tool. After inserting millions of rows into the physical data dictionaries, the catalog searches could become a little bit slower. Having some better performance optimization might help with this minor issue.
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.

Quotes from Members

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

Pros

"I find the rule modification and the replication of the rules in Collibra happens very quickly."
"The workflow is very good and has been embedded. It also has a great user interface."
"The solution makes data more discoverable and transparent."
"The diagram showing the limits is absolutely magnificent."
"The most important feature is the ease of use."
"The most valuable feature is the Technical Lineage. The fact that you can trace the auditability of a particular field or attribute across various systems is very useful."
"It's a user-friendly tool, even for non-technical people."
"I like Collibra's flexibility. I like to be able to modify things for our own use. For example, we've chosen to use Collibra also as a knowledge management tool, even though it is not designed to be a knowledge management tool. That's the beauty of it. It can serve as a knowledge management tool by creating some custom assets specifically for knowledge management."
"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. That's one of the main benefits we use it for."
 

Cons

"I have seen many customers moving away from Collibra Lineage after using it for a couple of years because the cost-benefit analysis does not give them a favorable report."
"The licensing is one area that could get improved."
"The interface is not very user-friendly and can be difficult to navigate."
"This solution could be improved with the the addition of process diagrams to help the many users of the platform understand all the fields."
"What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog. It could have intelligent capabilities built in to help maintain the quality of the data and information, such as natural language processing, machine learning, and so on."
"I'd like to see more integration with other reporting sources."
"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 room for improvement in Collibra Lineage as it could incorporate automation features which would allow it to find data lineage across a data stack independently."
"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 is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
 

Pricing and Cost Advice

"I think they can bring a few more features and align better with other quality products."
"Collibra Governance is extremely expensive"
"I am not so much aware of price details. Initially, there was an add-on NuSoft license to use the DVC connector that NuSoft gives to create integrations, but Collibra is now phasing out of it slowly. Collibra is cutting ties with them is what we have been led to believe, and we have started developing on Spring Boot, which is open source."
"The product is highly priced compared to other vendors."
"Collibra Governance is expensive - I would rate its pricing as one out of five."
"It is substantial, and we do pay yearly."
"I rate the pricing a three on a scale of one to ten, where one is expensive, and ten is cheap."
"It's expensive, especially for small companies."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
9%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
13%
Government
10%
Manufacturing Company
8%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise9
Large Enterprise55
No data available
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
A separate team did the setup for this tool and was involved in setting it up. When they were doing the setup, it was a significant upfront investment in terms of the configuration, modeling, and g...
What is your primary use case for Collibra Data Intelligence Platform?
I am a user who has worked at companies that use Collibra Platform as their data catalog and data intelligence platform tool. My first company, MetLife, used Collibra Platform, but I wouldn't know ...
What advice do you have for others considering Collibra Data Intelligence Platform?
My advice to others looking into using Collibra Platform is to use it in cloud because that is the best solution. I give this review a rating of 10 out of 10.
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...
 

Also Known As

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
No data available
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
Find out what your peers are saying about Collibra Platform vs. erwin Data Catalog and other solutions. Updated: January 2026.
882,032 professionals have used our research since 2012.