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Collibra Platform vs SAP Data Hub [EOL] comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Apr 15, 2026

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
Average Rating
8.0
Reviews Sentiment
6.2
Number of Reviews
90
Ranking in other categories
Data Governance (1st), Metadata Management (1st), AI Governance (1st)
SAP Data Hub [EOL]
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

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.
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

"We have seen a return on investment, as previously it took weeks or even months to find the actual data owner, while now it takes just seconds or a few minutes, indicating a significant increase."
"The solution's technical support is helpful and responsive."
"The automation process is very strong."
"The solution makes data more discoverable and transparent."
"Collibra is evolving their connectivity towards all programs across the IT landscape, with good workflows, nine dimensions of data quality, and many features, and it is based on Artificial Intelligence and Machine Learning so that even if you don't know SQL, you can operate Collibra Data Quality."
"We have had no complaints about the stability."
"From the perspective of a data user, the solution has a great search capability."
"We determined what our strategic platform was going to be in terms of a data catalog; IGC just quite frankly wasn't anywhere in the realm of what Collibra could offer in comparison."
"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."
"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 is not very user-friendly in terms of lineage generation. The lineage generation process is quite tough, and it takes lots of time to understand it. Business staff are also struggling to generate lineages and to understand them. So, it is not very user-friendly."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"The company strategy is also, honestly, infantile compared to a lot of companies."
"The connectors for metadata ingestion need to be improved."
"I experience occasional downtime, bugs, and some glitches."
"This solution could be improved with the the addition of process diagrams to help the many users of the platform understand all the fields."
"This solution does not have an out-of-the-box connector for the cloud platform."
"The company has everything offshore."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"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."
"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."
 

Pricing and Cost Advice

"It is substantial, and we do pay yearly."
"Many of our customers I spoke to felt that the solution is a bit highly-priced."
"Collibra Governance is an expensive solution."
"Collibra Governance is an expensive solution."
"Generally, it is a rather expensive solution compared to some other tools in the market, but I found it to be fair-priced for its capabilities."
"I think they can bring a few more features and align better with other quality products."
"Collibra offers a per-user licensing model."
"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
15%
Outsourcing Company
8%
Computer Software Company
8%
Manufacturing Company
7%
Outsourcing Company
14%
Manufacturing Company
13%
Construction Company
10%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise65
No data available
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
I have already had discussions with the Collibra Platform team regarding improvements. Having a more intuitive search and better natural language search queries would help business users more. Ther...
What is your primary use case for Collibra Data Intelligence Platform?
I utilize Collibra Platform for data catalog, data marketplace, and data governance-related activities. I have multiple data sources, and I perform extraction of data from those specific data sourc...
What advice do you have for others considering Collibra Data Intelligence Platform?
Collibra Platform is a good choice when selecting a data governance or data cataloging solution. I would recommend starting with a clear business use case and then cataloging everything at once, wh...
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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, Microsoft, Informatica and others in Data Governance. Updated: August 2026.
913,422 professionals have used our research since 2012.