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Collibra Platform vs Data Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 9, 2025

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
75
Ranking in other categories
Data Governance (2nd), AI Governance (1st)
Data Hub
Ranking in Metadata Management
7th
Average Rating
9.4
Reviews Sentiment
2.2
Number of Reviews
3
Ranking in other categories
AI Observability (15th)
 

Featured Reviews

reviewer2774796 - PeerSpot reviewer
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
Data governance has unified definitions and saves audit preparation time across the enterprise
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 governance design because the team first had to define the domains, the assets, and the roles. That takes time, and in the insurance environment where we had many legacy systems, this increased the setup effort. It would be helpful if Collibra Platform could have industry specific starter templates that could accelerate adoption. As we ingested more and more metadata, sometimes the catalog searches became slower by a fraction of a second because there was more metadata in the tool. After inserting millions of rows into the physical data dictionaries, the catalog searches could become a little bit slower. Having some better performance optimization might help with this minor issue.
reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Centralized metadata has empowered governed data discovery and clarified ownership for all teams
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. 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. User experience for non-technical users could be further simplified, particularly around advanced metadata concepts. The out-of-the-box governance workflow, for example, approvals and certification, could be more prescriptive for customers at early maturity stages. Data Hub can be improved in the initial setup and configuration that is somewhat complex, and also in operational monitoring that could benefit from more native dashboards and alerts. However, these are not blockers, but areas where additional guidance or product enhancement would further accelerate adoption.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is user-friendly."
"The feature I like most in Collibra Governance is the lineage. It lets me do lineage that you can set up, for example, technical lineage and business lineage. The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out, in terms of who to contact, what to do, and where to find what you need."
"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."
"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."
"It helps us build a powerful workflow mechanism where there can be any stewardship, including issue management governing assets using policies, regulations, or business rules."
"The catalog feature is definitely valuable because it makes ingesting the metadata of any application quite simple. You don't have to do things manually. You can just schedule an import, and it will just refresh the metadata of whatever application you want. That's what I like. I usually work on the technical side, and other than that, I usually create integrations. I integrate Collibra with different environments or applications. I'm a developer, so I cannot vouch for the business, but for me, it is quite developer-friendly with the Java API interface and the REST API interface that they have provided. It is good for creating dashboards based on the needs of each and every role. It can be user-specific or group-specific. We usually create dashboards and give them to our business users, and they are quite happy with that."
"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."
"The solution makes data more discoverable and transparent."
"Data Hub proved to be a robust, scalable, enterprise-ready data catalog that is well-suited for AWS-based architecture and complex organizational environments."
 

Cons

"It would be better if features like the privacy module and AI-based Collibra DQ were included in one package instead of being separate and requiring additional costs. Currently, the basic package covers lineage and documentation, but the extra modules come at an extra cost."
"If a developer implements ETL in Glue or PySpark, Collibra cannot capture lineage out of that."
"Sometimes, if a client needs a specific customization, we cannot do it directly. The client needs to reach out to Collibra and request the customization."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"The platform can sometimes be unstable, particularly in terms of speed and reconnection issues."
"The product must be cheaper."
"The workflow documentation must be improved."
"The domain-based approach could be more helpful for aspects such as customer 360 and product 360."
"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

"We purchase its annual license. There is an extra cost for additional users."
"Collibra Governance is extremely expensive"
"Collibra Governance is an expensive solution."
"The product's pricing is high, which its comprehensive features and capabilities may justify."
"The solution's pricing is moderate and not very expensive."
"Collibra is a bit expensive."
"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 Catalog is fairly priced - I would rate their pricing seven out of ten."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
9%
Manufacturing Company
8%
Insurance Company
6%
No data available
 

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.
What needs improvement with Data Hub?
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, a...
What is your primary use case for Data Hub?
We adopted Data Hub in the context of a large enterprise customer operating in a regulated industry with a strong focus on data governance, data discoverability, and ownership clarity across multip...
What advice do you have for others considering Data Hub?
Based on internal measurement and feedback from the data teams, there are many impacts. Time to locate and understand a data set was reduced by approximately 40-50 percent. Manual documentation eff...
 

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: December 2025.
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