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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:
 

ROI

Sentiment score
4.9
Collibra Platform aids digital transformation and efficiency but faces challenges in measuring financial gains due to integration and costs.
Sentiment score
4.1
Data Hub saves time and money, with mixed opinions on its efficiency compared to Atlan's greater speed.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
Senior Consultant at Infosys
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
Enterprise Cloud and AI Security Architect at a security firm with 10,001+ employees
While there are no direct cost reductions, there is significant indirect cost reduction.
Consulting Principal & Founder at Digital Data Consultancy
Atlan has a better approach compared to Data Hub.
Data Quality Engineer at truelogic
 

Customer Service

Sentiment score
6.1
Collibra Platform's support is knowledgeable but slow, with varying responsiveness and praised training, suggesting room for improvement.
Sentiment score
4.9
Data Hub's customer service is positively viewed, praised for prompt and helpful interactions, especially during the proof of concept phase.
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
Data and Analytics Manager at a insurance company with 10,001+ employees
The technical support from Collibra Governance is excellent.
Enterprise Cloud and AI Security Architect at a security firm with 10,001+ employees
I encountered some issues with data quality initially in Collibra Data Intelligence Platform, and they resolved those issues.
Data Engineer at Dataeconomy
When I was working with Atlan, and needed support, they were very good at attending to my requests directly.
Data Quality Engineer at truelogic
We have not gone that far with customer support; as far as the POC is concerned, we received good support from the team and the sales team that helped us evaluate the tool.
Director at a university with 1-10 employees
 

Scalability Issues

Sentiment score
7.3
Collibra Platform excels in scalability and data governance but requires improved UI and leadership for better adoption and performance.
Sentiment score
4.8
Acryl Data offers efficient native scalability for users and databases, though custom setups may need extra implementation time.
We were a big bank and had thousands of assets without any issues.
Data and Analytics Manager at a insurance company with 10,001+ employees
Collibra Lineage's performance is reliable, as the lineage harvest runs on the lineage server which operates on Collibra cloud.
Data Governance Developer at a tech vendor with 10,001+ employees
I would rate the scalability of Collibra Lineage as a nine; it is a scalable solution for my business.
Data Engineer at DATAECONOMY INC
Data Hub can scale fast in its native way.
Data Quality Engineer at truelogic
 

Stability Issues

Sentiment score
7.8
Collibra Platform is stable and reliable, praised for minimal issues, though upgrades may briefly affect complex data handling.
Sentiment score
8.7
Acryl Data users report reliable, seamless, and stable performance in Data Hub when examining datasets and columns without issues.
I rate the stability of Collibra Lineage as seven.
Data Governance Developer at a tech vendor with 10,001+ employees
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
Data Quality Engineer at truelogic
 

Room For Improvement

Enhancements needed in connectivity, automation, and AI, addressing integration, pricing, support, deployment, and performance challenges for adoption.
Integrations are complex, needing improved configuration, automation, native features, and better usability for non-technical users and advanced tasks.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Analytics Head of Data Management at King Abdullah University of Science and Technology
There should be a reduction in cost as compared to other tools.
Associate Director at Grant Thornton (US)
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.
Data and Analytics Manager at a insurance company with 10,001+ employees
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general.
Software Engineer at a tech vendor with 10,001+ employees
I wonder if it can automate the classification exercise, possibly using AI to auto-classify PII direct and indirect items.
Director at a university with 1-10 employees
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.
Data Quality Engineer at truelogic
 

Setup Cost

Collibra Platform's high pricing is offset by its valuable features, benefiting larger companies despite the costly per-user model.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
Company Owner, Data Consultant at Telenet BVBA
There are plans to increase license rates.
Analytics Head of Data Management at King Abdullah University of Science and Technology
Adding modules like Privacy could become expensive.
Data and Analytics Manager at a insurance company with 10,001+ employees
Regarding experience with pricing, setup cost, and licensing, I think if we have a budget of one hundred thousand US dollars, we will be able to deploy a reasonable version and connect to a number of data sources.
Director at a university with 1-10 employees
 

Valuable Features

Collibra Platform enhances data governance with user-friendly interface, custom integrations, metadata management, collaboration, and strong AI capabilities.
Data Hub offers scalable, efficient data management, excellent tool integration, open-source benefits, and enhanced data governance and discoverability.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
Consulting Principal & Founder at Digital Data Consultancy
We have saved up to 30% of manual work as a specific process or workflow became faster.
Data scientist at a wholesaler/distributor with 1-10 employees
The data lineage feature is beneficial for understanding where data is coming from.
Company Owner, Data Consultant at Telenet BVBA
Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.
Software Engineer at a tech vendor with 10,001+ employees
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.
Director at a university with 1-10 employees
Having a tool that shows the data lineage from the source until the target tables helps us a lot.
Data Quality Engineer at truelogic
 

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
6th
Average Rating
8.4
Reviews Sentiment
5.1
Number of Reviews
5
Ranking in other categories
AI Observability (11th)
 

Featured Reviews

MM
Senior Consultant at Infosys
User features offer accessibility but documentation and technical support require enhancement
The configuration issues I face include troubleshooting that is not very helpful. I keep struggling with that and usually have to go to the Citizen data platform and the marketplace to get the answers I am looking for. The controlled logs and documentation need improvement, particularly regarding how to access class features that they do not control, and documentation in terms of customization and UI customization. Dashboarding needs significant improvement as the widgets are not very clear or usable, and there is not much documentation around it. To make Collibra Lineage better, additional features should be added to help technical users. They have improved significantly in terms of university courses in the last five years, but aspects such as AI governance and data notebook are not being promoted adequately. Data notebook is a very good feature, but there is a mismatch in the courses' speed and how quickly they are giving people the ability to learn about it.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
8%
Computer Software Company
8%
Insurance Company
6%
Financial Services Firm
16%
Construction Company
14%
Insurance Company
14%
Healthcare Company
7%
 

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?
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 t...
What is your primary use case for Data Hub?
I work with Data Hub as a user, but I also have some administrative responsibilities there. I'm not a final user; the final users are business users, and I play some administrative roles in the too...
What advice do you have for others considering Data Hub?
I have experience with Data Hub to some extent. I believe Data Hub uses a lot of APIs, but I don't think I'm the right person to answer that because it relies a lot on a technical aspect that I don...
 

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
Information Not Available
Find out what your peers are saying about Collibra Platform vs. Data Hub and other solutions. Updated: April 2026.
890,027 professionals have used our research since 2012.