Try our new research platform with insights from 80,000+ expert users

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

"This solution is user friendly and offers multiple functionalities. It operates like a kind of a repository that allows you to find anything about a particular data set or field."
"The workflow is very good and has been embedded. It also has a great user interface."
"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."
"The beauty of the solution is that you can customize it quite a bit."
"Before Collibra Platform and after Collibra Platform, users saved at least two to three hours per week on average, and when multiplied across an organization with tens of thousands of employees, this represents significant savings in hours per week along with being ready for audits and having a single trustworthy central repository."
"I rate the technical support from Collibra as nine out of ten."
"The best features of Collibra Lineage include its ability to map data flows and provide clear visualizations."
"It helps us build a powerful workflow mechanism where there can be any stewardship, including issue management governing assets using policies, regulations, or business rules."
"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

"The domain-based approach could be more helpful for aspects such as customer 360 and product 360."
"When you have a huge amount of hierarchical data to manage, the solution's performance tends to decrease."
"I would like to see a feature using the runtime dashboard."
"There are certain limitations and difficulties regarding the migration of complex data quality rules, as the tool may struggle with lengthy calculations and longer loading times."
"I experience occasional downtime, bugs, and some glitches."
"There should be more detailed documentation on the selectors and certain information, and a reduction in cost as compared to other tools."
"The platform can sometimes be unstable, particularly in terms of speed and reconnection issues."
"They could simplify the platform's setup and design process. It requires significant IT involvement and expertise, which can be a barrier for smaller organizations."
"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

"Generally, it is a rather expensive solution compared to some other tools in the market, but I found it to be fair-priced for its capabilities."
"I think they can bring a few more features and align better with other quality products."
"I think it is on a yearly basis, but I'm not involved with the pricing session, so I have no idea. There are several licenses for different models. You get one license per product, but a lot of features are controlled separately through different licenses. So, as and when you want to use a feature, you have to procure the license for that feature."
"I rate the pricing a three on a scale of one to ten, where one is expensive, and ten is cheap."
"It is substantial, and we do pay yearly."
"There are different levels of licenses. For example, some users can only do read-only licenses, and others have the stewardship license where they can give access to users."
"Collibra Governance is expensive - I would rate its pricing as one out of five."
"I think they have a trust issue. I did not like the way they recently went through the process. They were like, "Finish this SOW first, only then will we sign the other SOW." Or, "Finish this code." I didn't like that much."
"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."
report
Use our free recommendation engine to learn which Metadata Management solutions are best for your needs.
881,707 professionals have used our research since 2012.
 

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
9%
Manufacturing Company
8%
Healthcare Company
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.
881,707 professionals have used our research since 2012.