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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
6.3
Number of Reviews
74
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 March 2026, in the Metadata Management category, the mindshare of Collibra Platform is 18.7%, 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 Mindshare Distribution
ProductMindshare (%)
Collibra Platform18.7%
erwin Data Catalog3.1%
Other78.2%
Metadata Management
 

Featured Reviews

reviewer2696502 - PeerSpot reviewer
Data and Analytics Manager at a insurance company with 10,001+ employees
It enables data governance with customizable workflows and effective customer support
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. This can lead to manual efforts to connect more databases, increasing costs. It would be beneficial if they offered more connectors as part of the initial package.
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 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."
"Implementing Collibra Governance is definitely something that all organizations having data need, especially for large enterprises where data is distributed across multiple data stacks, bringing rigor for both data management and data engineering."
"The best features of Collibra Lineage include its ability to map data flows and provide clear visualizations."
"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 most valuable features of Collibra are the workflows and the data lineage capabilities."
"Except for data quality, everything is perfect."
"The most valuable features of Collibra Lineage are the multiple options for automation, and if you have a scenario where automation does not work, you have the option to manually create the lineage."
"My experience with Collibra has been amazing."
"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."
 

Cons

"If a developer implements ETL in Glue or PySpark, Collibra cannot capture lineage out of that."
"There's a lot of things available in their Data Intelligence Cloud that are not available on-premise."
"Every time you change or publish a new questionnaire for certification, you have to basically go into the code and update the new version of the questionnaire."
"The price of Collibra Governance could improve."
"The workflows and the language they use needs to be improved."
"There are certain processes that involve a lot of manual work, specifically when searching for attributes assignment. It would be better if we could do this via APIs."
"The workflow documentation must be improved."
"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."
"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."
"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."
 

Pricing and Cost Advice

"It is substantial, and we do pay yearly."
"We purchase its annual license. There is an extra cost for additional users."
"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."
"Many of our customers I spoke to felt that the solution is a bit highly-priced."
"The product is highly priced compared to other vendors."
"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."
"It's expensive, especially for small companies."
"Collibra is a bit expensive."
"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
18%
Computer Software Company
9%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
14%
Construction Company
9%
Healthcare Company
8%
Government
8%
 

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: March 2026.
885,286 professionals have used our research since 2012.