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Collibra Platform vs erwin Data Catalog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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
6.2
Number of Reviews
89
Ranking in other categories
Data Governance (1st), 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 June 2026, in the Metadata Management category, the mindshare of Collibra Platform is 16.4%, down from 23.0% compared to the previous year. The mindshare of erwin Data Catalog is 3.1%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Collibra Platform16.4%
erwin Data Catalog3.1%
Other80.5%
Metadata Management
 

Featured Reviews

AK
Senior Consultant at Morgan Stanley
Data governance has transformed business glossaries and now drives AI-ready insights
I think it's a great platform. Searching can be made a little better. The data marketplace which it provides is also great, but sometimes when we are searching an element and we know we are not sure if we can find it or if we have missed it. Listing data domains in one place for quick visibility will be an add-on. I am not a hardcore coder. For a coder to create workflows and automate the process, I needed to learn Groovy script and create some workflows. In the automation part, I think it can also introduce a low-code, no-code platform where we can connect different connectors and we can quickly create some automated workflows, if at basic level only, because the next big thing is automation and AI. Low-code, no-code platforms are being used by everyone. I think that will be useful. When I look for a data domain, I'm not able to find it very quickly. For a business owner to know data domains and search data domains, it could be made a little easier. Also, the automation part needs improvement. We are only able to enter the data manually or connect to a data source, but now we want to create some workflows as well. That's why I've chosen a rating of eight. Otherwise, it's really great.
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

"The diagrams are good for data visualization."
"It enables a linear view of the data assets across different levels, providing a comprehensive understanding."
"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."
"We have had no complaints about the stability."
"The beauty of the solution is that you can customize it quite a bit."
"One of the best features of Collibra Lineage is that it provides an end-to-end perspective of where data is used in the enterprise."
"I rate the technical support from Collibra as nine out of ten."
"Collibra provides a good view of where my data is, the type of data we have across the landscape, how it's getting utilized, the quality in terms of correct calibration, and whether the integrity is uniform across the landscape."
"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

"There is room for improvement in the Collibra Data Catalog regarding data classification and categorization. It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better."
"Pricing policy of the product is an area with certain shortcomings that needs improvement."
"Where it isn't great is on older technologies that you'll typically find in finance or insurance industries, such as older types of data with VSAM or ISAM, or those types of older technologies. It just doesn't connect with them very easily."
"I would like to see a feature using the runtime dashboard."
"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."
"We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking."
"Many other tools like Collibra Governance give you the option to actually see the data in the tool, which is not an option in Collibra."
"Regarding the accuracy and reliability of output for Collibra Platform's AI capabilities, there is room for improvement by expanding the number of use cases."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"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."
 

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"
"Collibra provides you with a license based on the subscription model that you purchase."
"It's expensive, especially for small companies."
"The product's pricing is high, which its comprehensive features and capabilities may justify."
"Collibra is a bit expensive."
"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."
"Many of our customers I spoke to felt that the solution is a bit highly-priced."
"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."
"Erwin Data Catalog is very expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
8%
Outsourcing Company
5%
Construction Company
15%
Financial Services Firm
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise62
No data available
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
The UI of Collibra Platform can be improved, as can some APIs such as the import API. Improving the UI and documentation would bring it closer to a perfect score for me, making it more accessible.
What is your primary use case for Collibra Data Intelligence Platform?
Collibra Platform is used for data governance, bridging business and technical data. I used Collibra Platform to import metadata from GCP projects by utilizing Collibra import APIs. Importing metad...
What advice do you have for others considering Collibra Data Intelligence Platform?
I would advise others looking into using Collibra Platform to get some training and develop a culture around data governance. I have no idea about Collibra Platform's AI capabilities regarding gove...
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: June 2026.
900,644 professionals have used our research since 2012.