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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
5.2
Collibra Platform improves efficiency and data management, aiding digital transformation but poses challenges with integration costs and ROI achievement.
Sentiment score
3.4
Data Hub reduces errors, simplifies resolutions, centralizes data management, but Atlan is faster, with financial metrics often unavailable.
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 5,001-10,000 employees
I have seen a return on investment with Data Hub, notably in reducing the knowledge transition period and improving our ability to troubleshoot production issues in Power BI, thus saving time.
Manager Projects at Cognizant
 

Customer Service

Sentiment score
6.4
Collibra Platform's customer service is praised for responsiveness and knowledge, though some users report variability in support tiers.
Sentiment score
3.5
Data Hub offers responsive customer service and support via webinars, Slack, and sales teams, ensuring fast, genuine assistance.
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 II at Porch.com, Inc.
 

Scalability Issues

Sentiment score
7.2
Collibra Platform offers scalable architecture for enterprises, supporting thousands of users, though it may require technical expertise for optimal performance.
Sentiment score
6.0
Data Hub efficiently supports scalability, enabling smooth integration and handling of vast data and complex structures for growing organizations.
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 II at Porch.com, Inc.
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 reliable and stable, with high performance and minimal downtime, despite minor issues with large data volumes.
Sentiment score
8.3
Data Hub is stable and reliable, with consistent performance and minimal issues, excelling in dataset and column checks.
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
Data Hub is stable in my experience.
Software Engineer L2 at a tech vendor with 5,001-10,000 employees
Data Hub is stable.
Data Quality Engineer at truelogic
 

Room For Improvement

Collibra Platform needs improved efficiency, affordability, AI tools, and support to enhance user experience and data governance.
Users seek enhanced Data Hub features, improved usability, better integration, and stronger AI capabilities for a seamless experience.
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 is seen as a premium, subscription-based data governance solution with a cost-effectiveness that varies by company size.
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 tools for automation, improved data quality, and streamlined compliance processes.
Data Hub offers scalable data discovery, integration, lineage tracking, security, and streamlined access, boosting collaboration and productivity.
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
6th
Average Rating
8.4
Reviews Sentiment
5.0
Number of Reviews
14
Ranking in other categories
AI Observability (11th)
 

Mindshare comparison

As of June 2026, in the Metadata Management category, the mindshare of Collibra Platform is 16.4%, down from 23.0% compared to the previous year. The mindshare of Data Hub is 2.6%. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Collibra Platform16.4%
Data Hub2.6%
Other81.0%
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 II at Porch.com, Inc.
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
17%
Computer Software Company
10%
Manufacturing Company
8%
Outsourcing Company
5%
Financial Services Firm
13%
Outsourcing Company
13%
Manufacturing Company
10%
Wholesaler/Distributor
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise62
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise12
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
The UI of Collibra Platform can be improved, as can some APIs such as the import API. Improving the UI and documentation would bring it closer to a perfect score for me, making it more accessible.
What is your primary use case for Collibra Data Intelligence Platform?
Collibra Platform is used for data governance, bridging business and technical data. I used Collibra Platform to import metadata from GCP projects by utilizing Collibra import APIs. Importing metad...
What advice do you have for others considering Collibra Data Intelligence Platform?
I would advise others looking into using Collibra Platform to get some training and develop a culture around data governance. I have no idea about Collibra Platform's AI capabilities regarding gove...
What needs improvement with Data Hub?
I think Data Hub can be improved by supporting the open source version better. Many features have moved to the paid version now, making it difficult for small-scale companies to operate on Data Hub...
What is your primary use case for Data Hub?
My main use case for Data Hub is that we use it as a library for all the data assets that we generate. It serves as an internal data mart where people can search for whatever data they need, and th...
What advice do you have for others considering Data Hub?
Data Hub does most of the job it is designed to do, but there could still be improvement as the industry progresses, particularly around metadata discovery. Regarding Data Hub's AI capabilities, it...
 

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.
900,644 professionals have used our research since 2012.