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Collibra Platform vs Data Hub 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)
Data Hub
Ranking in Metadata Management
7th
Average Rating
8.4
Reviews Sentiment
5.1
Number of Reviews
5
Ranking in other categories
AI Observability (16th)
 

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.
Henrique dos Anjos - PeerSpot reviewer
Data Quality Engineer at truelogic
Metadata governance has improved data lineage visibility but still needs simpler integrations
I know that the integrations are not easy to do, and I believe it happens because it's a customized solution. There always needs to be software developers to work on this. It's complicated; every time we want to integrate new things or new sources, we need to generate a ticket or a request to another department. When I had my experience with Atlan, for example, I was able to connect different sources in a very user-friendly way. I just needed to set up some configurations and connect to the source without having to be a software developer or develop any code in the back end. It was just a feature in the data catalog that enabled me to connect with different kinds of sources. That's why I think the disadvantage of having a customized solution. Although I think Data Hub itself is a very good tool, years ago I had the opportunity to work with it, but with a clear interface and the open-source solution, which was very clear and easy to connect. At Uber, we need to have a request when we want to integrate new sources. Regarding Data Hub's intuitiveness, regarding analytics, I would say that some quality dimensions are available for us. For example, for each field name or each column in a table, it's possible to see the frequency, how many values we have for a specific type or category, and we can see if there are new or null values, whether the columns are empty or not, along with some metrics. This is regarding the data quality dimensions, such as nullables and things of that nature. That is all we have for features. I remember when I was working with Atlan, there was a feature I liked very much—the possibility to have a sample. When I clicked on a table, I could see a short sample without needing SQL skills. I just clicked the table and could see some values or what the table represents; the data catalog would show a screen with some rows of the table. This feature was very good, but we don't have it in Data Hub the way it is implemented at Uber. I think it would be a very good feature for analytics, and we don't have it at the moment. The integration part could be better, but again, it's because it's a customized solution. I think if they used the native version of the tool, it would be simpler. The integration part and the process of setting up new data quality rules would be important for data governance players like me.

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."
"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."
"The beauty of the solution is that you can customize it quite a bit."
"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 solution's most valuable features are its scalability and how it can be integrated to any other intakes."
"The end-to-end solution itself is great. The most valuable is the workload feature that Collibra offers. There is a vast amount of flexibility in terms of how much we can customize. It gives us a lot of options to implement for a lot of purposes."
"The most important feature is the ease of use."
"The most valuable features of Collibra Governance are that it is user-friendly and easy to use."
"Data Hub proved to be a robust, scalable, enterprise-ready data catalog that is well-suited for AWS-based architecture and complex organizational environments."
"Data Hub has positively impacted our organization by bringing the tribal knowledge that resides with team members into a single place where users can discover and understand the data elements before they make use of it."
"Acryl Data helps with processing large amounts of data as it is a very good tool that gives good flexibility to store a huge amount of data and is easier to use."
"Acryl Data has positively impacted my organization by speeding up all the development."
"One of the biggest advantages of Data Hub is the very good integration, for example, a department focused on development made the integrations between Data Hub and BigQuery."
 

Cons

"This solution could be improved with the the addition of process diagrams to help the many users of the platform understand all the fields."
"Recently, I find that the default process of issue management in Collibra is really complex — It wasn't really helpful to us."
"When we are doing discovery for unstructured data sources, I would suggest a quality report of the data that would indicate what was unable to process."
"Collibra, as far as I know, does not have a connector like Oracle, or a mainframe. It's important to have a connector so that you have access to up-to-date information."
"If a developer implements ETL in Glue or PySpark, Collibra cannot capture lineage out of that."
"I would like to see a feature using the runtime dashboard."
"Since we do have a lot of older legacy systems, things that aren't greenfield, if you will, it adds a lot more overhead than what we were originally led to believe when we originally purchased the product."
"The product must be cheaper."
"In terms of ROI, I would say that Atlan is better. The way Data Hub is implemented at the moment, Atlan is much better; it's much, much faster."
"I chose seven out of ten because there are better catalogs available in the market that offer more features."
"The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments."
 

Pricing and Cost Advice

"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."
"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 provides you with a license based on the subscription model that you purchase."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"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."
"Collibra Governance is expensive - I would rate its pricing as one out of five."
"It is substantial, and we do pay yearly."
"Collibra is a bit expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
9%
Manufacturing Company
8%
Insurance Company
6%
Construction Company
15%
Insurance Company
15%
Financial Services Firm
12%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise9
Large Enterprise55
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise3
 

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.
What needs improvement with Data Hub?
Data Hub can be improved with more automation; there are some inbuilt automations, such as documenting definitions of data elements using AI, which is useful. I wonder if it can automate the classi...
What is your primary use case for Data Hub?
My main use case for Data Hub is to enrich the metadata to classify for PII data. As an administrator, I crawl a number of data sources and bring the metadata into a single place, then assign the o...
What advice do you have for others considering Data Hub?
I chose seven out of ten because there are better catalogs available in the market that offer more features. The UI, especially when setting up new data sources and crawling them, is a little cumbe...
 

Also Known As

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
Acryl Data
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
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Find out what your peers are saying about Collibra Platform vs. Data Hub and other solutions. Updated: March 2026.
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