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Collibra Platform vs SAP 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 Data Governance
2nd
Ranking in Metadata Management
1st
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
75
Ranking in other categories
AI Governance (1st)
SAP Data Hub
Ranking in Data Governance
31st
Ranking in Metadata Management
14th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Governance category, the mindshare of Collibra Platform is 8.8%, down from 13.8% compared to the previous year. The mindshare of SAP Data Hub is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Collibra Platform8.8%
SAP Data Hub1.1%
Other90.1%
Data Governance
 

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.
VM
GTM Lead at Capgemini
The solution is seamless, but the database sometimes leads to confusion
We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

Quotes from Members

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

Pros

"I find the rule modification and the replication of the rules in Collibra happens very quickly."
"The ability to collaborate and approve business terms for the business glossary data dictionary is excellent."
"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."
"The best features of Collibra Lineage include its ability to map data flows and provide clear visualizations."
"Rules and policies on workflows are really strong."
"Collibra is very good at talking to modern database systems like a normal RDBMS, a DB2, or a SQL server or an Oracle."
"Collibra Governance is a stable solution."
"I would recommend Collibra Governance depending on the needs of the company."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."
 

Cons

"Collibra gives a lot of facilities in the cloud, but achieving those facilities on-prem becomes a big challenge"
"While connecting with the data source, it's not very easy. If there's a firewall, it is difficult to connect with the database. It's not easy when you are configuring on the database."
"Regarding licensing, I find it is one of the more expensive options, so it is not particularly affordable."
"I have seen many customers moving away from Collibra Lineage after using it for a couple of years because the cost-benefit analysis does not give them a favorable report."
"Certain implementations, including lineage maps, could be user-friendly."
"When you have a huge amount of hierarchical data to manage, the solution's performance tends to decrease."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"The connectors for metadata ingestion need to be improved."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"The company has everything offshore."
"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."
 

Pricing and Cost Advice

"There are different licenses available for Collibra Lineage based on what kind of access you want. If you want, for example, a read-only license they have different ones to pick from."
"It is substantial, and we do pay yearly."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"The product's pricing is high, which its comprehensive features and capabilities may justify."
"Collibra Governance is expensive - I would rate its pricing as one out of five."
"I am not so much aware of price details. Initially, there was an add-on NuSoft license to use the DVC connector that NuSoft gives to create integrations, but Collibra is now phasing out of it slowly. Collibra is cutting ties with them is what we have been led to believe, and we have started developing on Spring Boot, which is open source."
"I would say it's probably in line with what other vendors charge for licensing."
"The solution's pricing is moderate and not very expensive."
"The Cloud is very expensive, but SAP HANA previous service is okay."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
9%
Manufacturing Company
8%
Insurance Company
6%
Manufacturing Company
19%
Financial Services Firm
13%
Government
10%
Computer Software Company
9%
 

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.
Ask a question
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Also Known As

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
No data available
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Kaeser Kompressoren, HARTMANN
Find out what your peers are saying about Collibra Platform vs. SAP Data Hub and other solutions. Updated: January 2026.
881,733 professionals have used our research since 2012.