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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
46
Ranking in other categories
No ranking in other categories
SAP Data Hub
Ranking in Data Governance
26th
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
3
Ranking in other categories
Metadata Management (8th)
 

Mindshare comparison

As of February 2025, in the Data Governance category, the mindshare of Collibra Governance is 11.6%, down from 12.8% compared to the previous year. The mindshare of SAP Data Hub is 1.2%, down from 1.4% 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 product's most valuable features are cataloging and classification."
"Provides a good view of the data and how it's being utilized, as well as calibration quality."
"As far as the functionality of the tool is concerned, it's pretty slick."
"The most valuable features of Collibra are the workflows and the data lineage capabilities."
"The most valuable feature is the Technical Lineage. The fact that you can trace the auditability of a particular field or attribute across various systems is very useful."
"From the perspective of a data user, the solution has a great search capability."
"Workflows is the most valuable feature of Collibra because we will typically use an interface for it and we can customize it as per our needs."
"We use the solution's Data Stewardship part."
"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

"What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog. It could have intelligent capabilities built in to help maintain the quality of the data and information, such as natural language processing, machine learning, and so on."
"The solution's metadata management is pretty novice and could be improved."
"The solution's search functionality can be improved"
"There should be more detailed documentation on the selectors and certain information, and a reduction in cost as compared to other tools."
"Where it isn't great is on older technologies that you'll typically find in finance or insurance industries, such as older types of data with VSAM or ISAM, or those types of older technologies. It just doesn't connect with them very easily."
"The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved."
"Pricing policy of the product is an area with certain shortcomings that needs improvement."
"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."
"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."
"I would say it's probably in line with what other vendors charge for licensing."
"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 rate the pricing a three on a scale of one to ten, where one is expensive, and ten is cheap."
"Collibra Governance is an expensive solution."
"Collibra Governance is expensive - I would rate its pricing as one out of five."
"We purchase its annual license. There is an extra cost for additional users."
"There are different levels of licenses. For example, some users can only do read-only licenses, and others have the stewardship license where they can give access to users."
"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
21%
Computer Software Company
12%
Manufacturing Company
7%
Insurance Company
7%
Manufacturing Company
15%
Computer Software Company
14%
Financial Services Firm
14%
Government
9%
 

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 price is quite high. Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
What needs improvement with Collibra Governance?
The platform can sometimes be unstable, particularly in terms of speed and reconnection issues. There's also potential for improvements in AI and AI governance, which I don't see clear use cases fo...
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: January 2025.
832,138 professionals have used our research since 2012.