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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
5.4
Collibra boosts efficiency and data governance, reduces manpower, and aids cloud migration, but pricing and value assessment pose challenges.
Sentiment score
5.2
Users prefer Atlan for its speed and efficiency, while Data Hub offers ROI through reduced errors and cost savings.
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
A lot of time gets saved in data search, data discovery, and data analysis, which translates into a good return on investment.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
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
Atlan has a better approach compared to Data Hub.
Data Quality Engineer at truelogic
I see a return on investment because the role-based system reduces the chances of errors and makes them easier to resolve.
AI/ML Developer at a university with 501-1,000 employees
 

Customer Service

Sentiment score
6.2
Collibra's customer support is appreciated for responsiveness and expertise, but some suggest improvements in response times and documentation.
Sentiment score
3.9
Data Hub support is praised for its quick, effective assistance, with reliable service even during the POC phase.
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
Technical Manager at a recruiting/HR firm with 11-50 employees
They provide quick and high-quality responses.
Master Data Manager at a recruiting/HR firm with 51-200 employees
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
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
7.4
Collibra Platform is highly rated for scalability and flexibility, though some users suggest improvements in integration and customization.
Sentiment score
5.7
Data Hub's robust scalability allows Acryl Data to efficiently manage growth and accommodate diverse user and data demands.
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
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
Master Data Manager at a recruiting/HR firm with 51-200 employees
Collibra Platform is heavily scalable with a completely robust architecture.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Data Hub can scale fast in its native way.
Data Quality Engineer at truelogic
 

Stability Issues

Sentiment score
7.9
Collibra Platform is stable and reliable, with improved cloud performance, but can be costly with large data sizes.
Sentiment score
8.9
Data Hub is consistently praised by users for its stability and reliability, with no reported issues or downtime.
The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.
Master Data Manager at a recruiting/HR firm with 51-200 employees
It does not lag, and it can handle large volumes of data in less time.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Collibra Platform is stable.
Technical Manager at a recruiting/HR firm with 11-50 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

Collibra Platform needs interface simplification, AI enhancements, better support, pricing, performance, integration, and security improvements.
Data Hub needs built-in analytics, automation, and user-friendly setup to improve accessibility, integration, and governance efficiency.
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
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
Senior IT Consultant at a tech services company with 201-500 employees
Collibra Platform could be improved, particularly the AI platform, which at the end of the day needs to be very tailored and very specific to my cases.
Data Consultant at a comms service provider with 501-1,000 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's extensive features justify its high pricing, with licensing options, though smaller companies may find costs prohibitive.
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 metadata management with governance workflows, AI capabilities, and seamless integration, improving data classification and compliance.
Data Hub boosts efficiency and trust with secure access, lineage tracking, user-friendly interface, scalability, and seamless tool integration.
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
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
Senior IT Consultant at a tech services company with 201-500 employees
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
81
Ranking in other categories
Data Governance (2nd), AI Governance (1st)
Data Hub
Ranking in Metadata Management
6th
Average Rating
8.4
Reviews Sentiment
5.5
Number of Reviews
6
Ranking in other categories
AI Observability (13th)
 

Featured Reviews

SC
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Unified data governance has reduced manual effort and accelerates trusted AI model oversight
Improvement with respect to adding more connectors is one thing I feel which needs to be looked at. Right now, Collibra Platform provides many connectors and native connections, out-of-the-box connectors, but the technology landscape is overgrowing, and several new enterprise tools are coming in the market. The number of connectors can be increased. Secondly, to use Collibra Platform APIs, you need to always have a JSON Web Token or admin access, so that process can be improvised. Third, Collibra Platform can try and test how to make the work faster with more and more agents. Capturing the lineage becomes a little cumbersome in Collibra Platform when the technology landscape is a combination of multiple tools, so that is one thing which can be simplified. I have already added the integration with other tools, so that is one area which needs to be improvised and there is scope for improvement. Another thing is bringing in more agents to agentify things and making work faster.
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%
Computer Software Company
8%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
15%
Insurance Company
13%
Construction Company
13%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise13
Large Enterprise58
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
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.
893,311 professionals have used our research since 2012.