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Collibra Governance vs SAP Data Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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 Governance
Ranking in Data Governance
3rd
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
49
Ranking in other categories
No ranking in other categories
SAP Data Hub
Ranking in Data Governance
29th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Metadata Management (12th)
 

Mindshare comparison

As of August 2025, in the Data Governance category, the mindshare of Collibra Governance is 8.7%, down from 11.8% compared to the previous year. The mindshare of SAP Data Hub is 1.1%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

DeepakArora - PeerSpot reviewer
Enhancing data management with user-friendly features but needs better documentation
We are a customer of Collibra. Collibra Governance is applied in our data management workflows by creating all the business functions separately, maintaining the data sources of those KPIs and everything separately on those businesses Collibra Governance provides ease of use. The portal is…
VM
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

"The most valuable features of Collibra are the workflows and the data lineage capabilities."
"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."
"Collibra's lineage is a very powerful feature. We have integrated Collibra with Azure and ADLS storage and we create lineage diagrams using the two tools."
"It's not a complicated product."
"The diagram showing the limits is absolutely magnificent."
"We use the solution's Data Stewardship part."
"It enables a linear view of the data assets across different levels, providing a comprehensive understanding."
"The most important feature is the ease of use."
"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."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
 

Cons

"When we are doing discovery for unstructured data sources, I would suggest a quality report of the data that would indicate what was unable to process."
"It should have more integrations with things like CyberArk because its main purpose is GDPR implementation. We have to have more scope for things that implement more privacy. CyberArk makes sure your credentials are vaulted and your things are secure when you're creating your integrations or connecting to an application. I do believe that they are working on this feature."
"The platform can sometimes be unstable, particularly in terms of speed and reconnection issues."
"One problem is the data lineage, especially extracting the ETL transformation from different ETL tools and identifying how the data is getting changed from one layer to different layers and how the transformation is applied. It doesn't support all the ETL tools for extracting the transformation logic. It supports some of the tools, but there are still some tools that need to be supported. There is also a small pain point in terms of integration. There is a little bit of change in their strategy from Collibra's end. Earlier, they used to offer two solutions. One was out of the box, and one was a custom-built solution for which they used to provide a dual connector. Now the focus from the Collibra side is more on using the out of the box connector. They are discouraging doing the custom integration. That leaves us with two problems. The first problem is that the out-of-the-box connecter is not yet enabled for a lot of systems, and the second problem is that the out-of-the-box connecter has certain limitations. If we want to tweak those as per our needs, it is not possible. However, the custom-built is still supported, and you can still build a custom integration by using the API, but it is not very encouraged by Collibra. Its dashboard also needs to be improved. There are options to use the HTML code to customize your dashboard, but it has a lot of limitations."
"There are certain processes that involve a lot of manual work, specifically when searching for attributes assignment. It would be better if we could do this via APIs."
"From a usability perspective, customers usually find some areas of the solution a bit complex. It takes a long time for the customers to get used to the UI and the interface."
"There is room for improvement in the Collibra Data Catalog regarding data classification and categorization. It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better."
"It would be better if there was a way to import all data and metadata in an automatic way in one block form."
"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

"Collibra is a bit expensive."
"We purchase its annual license. There is an extra cost for additional users."
"The solution's pricing is moderate and not very expensive."
"I think they have a trust issue. I did not like the way they recently went through the process. They were like, "Finish this SOW first, only then will we sign the other SOW." Or, "Finish this code." I didn't like that much."
"Many of our customers I spoke to felt that the solution is a bit highly-priced."
"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."
"It is substantial, and we do pay yearly."
"I would say it's probably in line with what other vendors charge for licensing."
"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
12%
Manufacturing Company
8%
Insurance Company
7%
Manufacturing Company
15%
Financial Services Firm
12%
Computer Software Company
12%
Government
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Collibra Governance?
We use the solution's Data Stewardship part.
What is your experience regarding pricing and costs for Collibra Governance?
The pricing of Collibra Governance is moderate. It is neither extremely costly nor very cheap, as it depends on the use case and specific requirements.
What needs improvement with Collibra Governance?
There is room for improvement in the Collibra Data Catalog regarding data classification and categorization. It struggles to catalog all categories of data, particularly sensitive data on-prem, whi...
What do you like most about SAP Data Hub?
SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database.
What needs improvement with SAP Data Hub?
We moved from Oracle. If you're aware of your monitoring system, the RPU market, and the managed system, you should move to HANA, which is an innovative database built by SAP itself. However, this ...
What is your primary use case for SAP Data Hub?
I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on the retention periods. We have to move the data to some secure storage rather t...
 

Also Known As

Collibra
No data available
 

Overview

 

Sample Customers

Ministry of Economy Science and Innovation, Aspen Insurance, Barry Callebaut, Colt
Kaeser Kompressoren, HARTMANN
Find out what your peers are saying about Collibra Governance vs. SAP Data Hub and other solutions. Updated: July 2025.
865,295 professionals have used our research since 2012.