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Collibra Platform vs Data Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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
5.1
Collibra Platform enhances efficiency and productivity, cutting data search time, reducing costs, and improving data governance and revenue.
Sentiment score
2.9
Data Hub boosts efficiency via time savings and error reduction, but Atlan is quicker for specific tasks, with mixed ROI feedback.
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
Data Hub centralizes data cataloging and classification, saving us from having to disclose PII column information to teams not utilizing it.
Software Engineer L2 at a tech vendor with 1,001-5,000 employees
It is very helpful in building data quality for the company, leading to approximately thirty percent improvement in efficiency.
Finance Feedback Committee at MB Shinsei Finance Limited Liability Company
 

Customer Service

Sentiment score
6.3
Collibra Platform support is strong, with knowledgeable staff but effectiveness varies by payment tier, impacting response times.
Sentiment score
3.8
Data Hub's customer service is responsive and helpful, with useful forums and webinars, though some report occasional setup challenges.
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
Customer support for Data Hub is quite good.
Manager - Projects at Cognizant
Customer support for Data Hub is very genuine, and they are responsive and attentive.
Senior Software Engineer 2 at Porch
 

Scalability Issues

Sentiment score
7.0
Collibra Platform offers scalable data management for enterprises, but requires technical expertise and good governance for optimal performance.
Sentiment score
5.4
Data Hub scales efficiently, handling diverse data sources, though optimization is needed for extensive datasets, supporting data mesh.
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
Our organization has more than 10,000 employees without any glitch, without any hang, and without any slowness.
Senior Consultant at Morgan Stanley
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
We have successfully onboarded over 1000 datasets from various sources without any issues.
Senior Software Engineer 2 at Porch
Data Hub's scalability is advantageous, as we onboard data from over one hundred fifty tables in SQL Server to Snowflake, and adding new tables to Data Hub is not time-consuming.
Manager - Projects at Cognizant
Data Hub's scalability is very easy, as we were able to add users and new datasets very quickly and smoothly.
Data Quality Engineer at truelogic
 

Stability Issues

Sentiment score
8.0
Collibra Platform is stable and efficient with minor glitches, requires minimal maintenance, and handles large data effectively.
Sentiment score
8.0
Data Hub and Acryl Data are highly stable, reliable, and comparable to Oracle with minimal downtime and rare minor issues.
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
It is quite reliable and on par with what is created using the Oracle database.
Lead Business Analyst at a tech vendor with 10,001+ employees
When I used Data Hub, I did not experience any lagging, crashing, or downtime.
Senior Data Engineer at a tech services company with 1-10 employees
 

Room For Improvement

Collibra Platform needs workflow, UI, search, integration, and performance enhancements, with improved documentation, pricing, and simplified navigation.
Data Hub needs better integration, automation, UI, analytics, and security, with enhancements in metadata, memory, and AI functions.
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
Integration with tools such as Power BI, Tableau, or notebooks would be great for handling large data processing.
Data Engineer
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
Providing consulting or support with professionals who are qualified to use Data Hub would be interesting, along with providing training and certifications for the tool so that those who are implementing it can specialize increasingly in its features.
Data Quality Engineer at truelogic
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
 

Setup Cost

Collibra Platform's pricing is high but effective for enterprises, with cost challenges for smaller organizations due to additional modules.
Enterprise users find Data Hub affordable and effective, connecting multiple data sources with a $100,000 budget, with favorable feedback.
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
It costs about zero since, if we win the setup, it probably results in no cost.
Finance Feedback Committee at MB Shinsei Finance Limited Liability Company
 

Valuable Features

Collibra Platform offers AI-driven data governance, compliance management, and streamlined access with a user-friendly, integrative interface.
Data Hub enhances data exploration, collaboration, and governance with seamless integrations, metadata management, and user-friendly interface, boosting efficiency.
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
6.2
Number of Reviews
89
Ranking in other categories
Data Governance (1st), AI Governance (1st)
Data Hub
Ranking in Metadata Management
4th
Average Rating
8.2
Reviews Sentiment
4.8
Number of Reviews
22
Ranking in other categories
AI Observability (8th)
 

Mindshare comparison

As of August 2026, in the Metadata Management category, the mindshare of Collibra Platform is 17.0%, down from 22.7% compared to the previous year. The mindshare of Data Hub is 2.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Collibra Platform17.0%
Data Hub2.7%
Other80.3%
Metadata Management
 

Featured Reviews

AK
Senior Consultant at Morgan Stanley
Data governance has transformed business glossaries and now drives AI-ready insights
I think it's a great platform. Searching can be made a little better. The data marketplace which it provides is also great, but sometimes when we are searching an element and we know we are not sure if we can find it or if we have missed it. Listing data domains in one place for quick visibility will be an add-on. I am not a hardcore coder. For a coder to create workflows and automate the process, I needed to learn Groovy script and create some workflows. In the automation part, I think it can also introduce a low-code, no-code platform where we can connect different connectors and we can quickly create some automated workflows, if at basic level only, because the next big thing is automation and AI. Low-code, no-code platforms are being used by everyone. I think that will be useful. When I look for a data domain, I'm not able to find it very quickly. For a business owner to know data domains and search data domains, it could be made a little easier. Also, the automation part needs improvement. We are only able to enter the data manually or connect to a data source, but now we want to create some workflows as well. That's why I've chosen a rating of eight. Otherwise, it's really great.
Akashkhurana Hirana - PeerSpot reviewer
Senior Software Engineer 2 at Porch
Metadata management has streamlined lineage tracking and data discovery for our teams
The best features Data Hub offers include its integration capability with many popular tools like Apache Airflow, Snowflake, dbt, Looker, Apache Kafka, and BigQuery. These tools provide us with data in various places, and we commonly use Apache Airflow for the DAG, while utilizing BigQuery as our database and Apache Kafka for consuming messaging queues. Data Hub easily connects with all these tools and features excellent data discovery and visualization capabilities. We can see data visibility, where it comes from, its upstream and downstream relationships. If we remove a column, we can assess the impact of that change. Furthermore, if there are duplicate datasets being used by different teams that do not communicate regularly, onboarding all data to Data Hub allows us to identify these duplicates easily. Out of all those features, I believe data discovery and impact analysis are the most valuable for my team because when we want to add or drop a column, we can assess the impact analysis to understand the downstream effects. This helps us know who owns a dataset, and we can easily contact the owner. Tracking the data lineage back to the source table is also a key benefit. Data Hub has positively impacted my organization by significantly reducing manual work that was previously needed to identify upstream and downstream data relationships, as well as recognizing duplicate datasets. If a data contract is broken, we now easily get notified of those issues, making the process much easier and more efficient. It is particularly useful for data engineers and platform teams to check for problems directly within Data Hub. Data Hub has saved our team a lot of time. For example, in a large company like Porch, if I want to know whether a specific dataset exists, I can check Data Hub, as it serves as a centralized point for managing the metadata of our data. While it does not contain all data, it does contain the metadata necessary for understanding the dataset's origin. If a dataset does not exist, I can simply see who the owner is and reach out to them, which reduces the dependency on others by providing direct access to information in Data Hub.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
8%
Manufacturing Company
8%
Outsourcing Company
7%
Financial Services Firm
17%
Outsourcing Company
13%
Construction Company
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise63
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise15
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
The user experience of Collibra Platform could be better. Even though there is a large research tab, I think it could be more customizable, meaning I could add filters. Currently, it does not have ...
What is your primary use case for Collibra Data Intelligence Platform?
My main use case for Collibra Platform is data governance and traceability of data sources. For governance or traceability in my work, I can provide a specific example: we migrated a couple of data...
What advice do you have for others considering Collibra Data Intelligence Platform?
The advice I would give to others looking into using Collibra Platform is that every tool has a learning curve. They should pursue it; Collibra Platform is a very well-developed and well-explained ...
What needs improvement with Data Hub?
Data Hub can be improved with easy accessibility. I think integration with other environments is needed to enhance accessibility.
What is your primary use case for Data Hub?
My main use case for Data Hub is for data governance, specifically the use of data lineage and data catalog. I use Data Hub for data governance and data lineage in my day-to-day work by checking th...
What advice do you have for others considering Data Hub?
I do not have any advice to give to others looking into using Data Hub. I found this interview valuable and do not think anything needs to change for the future. My overall review rating for Data H...
 

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: June 2026.
908,834 professionals have used our research since 2012.