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Microsoft Purview Data Governance vs SAP Data Hub [EOL] comparison

 

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

Microsoft Purview Data Gove...
Average Rating
7.6
Reviews Sentiment
6.6
Number of Reviews
60
Ranking in other categories
Data Governance (1st), Microsoft Security Suite (12th)
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

AS
Tech lead at a healthcare company with 5,001-10,000 employees
Automated data discovery has streamlined management while configuration remains complex
Compared to Big-ID, Microsoft Purview Data Governance looks complicated to me. I do not feel it has a good user-level UI. The interface feels a little complicated compared to Big-ID. I did not appreciate the configuration part. It felt complex, whereas when I went for a Big-ID demo, the interface looked better and was easier to understand for any user.
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

"Overall, the potential for this solution is really large."
"Their data labeling or data classification is particularly valuable because we want to categorize all of our data into confidential, public, or internal."
"You can set up automated dates to alert on internal data."
"Data segregation is the most valuable feature."
"The data protection feature is vital as it controls who can access data when it moves out of our protected boundary."
"The sensitivity labeling is the most valuable feature because it is the foundation for automating the encryption process and ensuring proper data handling across the organization."
"The data protection feature is vital as it controls who can access data when it moves out of our protected boundary."
"It is designed to seamlessly connect to various data sources, which is particularly beneficial for our customers who primarily use Microsoft technologies."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"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."
"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."
"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."
 

Cons

"Compared to Big-ID, Microsoft Purview Data Governance looks complicated to me. I do not feel it has a good user-level UI."
"I rate Microsoft support six out of 10. The standard support is acceptable, but sometimes it doesn't respond fast enough. Overall, it doesn't meet our expectations."
"We are currently in the rollout phase, so I am not entirely sure about specific areas of improvement. However, there are some problems with DLP rules, and it would be great if the security around DLP could be expanded."
"The support could be better, particularly with consulting."
"It could reduce pricing to encourage usage."
"There are differences when looking at an incident in the M365 portal versus Purview, and the main one is the advanced hunting. In the M365 portal, you can write KQL queries and fetch data. If that was available in Purview, it would be very good."
"Support should be improved in the form of good documentation and video lessons where a person can check things out. There is a community, but it takes a lot of time if we want to get an answer to a question."
"We have had some issues automating our document management with Power Apps. I haven't been super-disappointed with anything except for Power Apps, which kinda drives me nuts. I think it's because I am a coder who can do things properly, and I keep trying to do things there, but it's not working out the way. The security team is pretty quick. I'm kind of a thorn in their side. I always try to get around stuff. They haven't come to me for anything saying, "Hey, I can't find this information." They're pretty good. Maybe, there's a lack of documentation, but that doesn't seem to be an issue for our team."
"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."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"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."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
 

Pricing and Cost Advice

"It is cheap. It is based on consumption. If somebody wants to start using it, the price is definitely cheaper than a tool like Collibra."
"The pricing depends on the client's requirements and the number of applications."
"It's not cheap. I'm not exactly sure how much our license costs, but it is very expensive."
"Price-wise, I think it's very generous and accessible to not just enterprises but small to medium-sized companies as well. I think it's very fair in terms of how they break apart the storage and the actual computing, and that makes it very accessible. So, that is a very big plus for Purview."
"The price is a little bit high, but it's worth the money because it has a lot of features."
"Microsoft Purview has a pay-per-use pricing model, so it's one of the most cost-effective tools, as your cost will be based on your usage. It's a pricing model that Microsoft has nailed down, making it great whether you're a small organization or a multinational, giant organization."
"The pricing is moderate. It's not too expensive, but it's not the most competitive."
"Aside from the complexity of the pricing model, the price itself is realistic. Features like AI components and automatic classification require additional licenses. Still, anyone can start using Purview with a basic E3 license if they're using Microsoft 365 and grow with additional licenses as needed. Overall, we're satisfied with the price."
"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
14%
Government
9%
Computer Software Company
9%
Manufacturing Company
8%
Manufacturing Company
15%
Financial Services Firm
14%
Construction Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise12
Large Enterprise33
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Azure Purview?
Microsoft Purview Data Governance is quite affordable compared to other market solutions, which have high initial costs. It allows for a cost-effective start with negligible initial cost. However, ...
What needs improvement with Microsoft Azure Purview?
The features in the actual data governance could be improved, and I think there is room for improvement in the product. We haven't used role-based access control in a complex way; it's somehow embe...
What is your primary use case for Microsoft Azure Purview?
We are currently working with Microsoft Purview Data Governance and other Microsoft products. We are using Microsoft Purview Data Governance.
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Also Known As

Microsoft Purview, MS Azure Purview
No data available
 

Overview

 

Sample Customers

Information Not Available
Kaeser Kompressoren, HARTMANN
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: April 2026.
895,272 professionals have used our research since 2012.