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Microsoft Purview Data 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

Microsoft Purview Data Gove...
Ranking in Data Governance
1st
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
59
Ranking in other categories
Microsoft Security Suite (8th)
SAP Data Hub
Ranking in Data Governance
32nd
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Metadata Management (15th)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of Microsoft Purview Data Governance is 13.8%, down from 21.5% 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 (%)
Microsoft Purview Data Governance13.8%
SAP Data Hub1.1%
Other85.1%
Data Governance
 

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

"The user interface is highly intuitive and user-friendly."
"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."
"It gives you the opportunity to know your data and apply policies around it. If those policies are flouted, you can always track what's happening. You have options such as alerting the person who is committing that action, or you can take automatic action by blocking, for example, an email that is been sent externally. It's very useful."
"The best part is that I can create classifications per my requirements. I use it to classify multiple platforms like AWS, GCP, Azure, and different file sharing systems."
"The cataloging tool is definitely the most valuable... It tells you about all the data you have in your tables, which helps people understand our data. We now know what data we have."
"You can set up automated dates to alert on internal data."
"The e-discovery search is useful."
"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

"The support could be better, particularly with consulting."
"The API needs some improvement when connecting to non-Microsoft API sources. This is a limiting factor."
"The standard support is acceptable, but sometimes it doesn't respond fast enough. Overall, it doesn't meet our expectations."
"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."
"I lose a little bit of that control when we're talking about third-party connectors. Compliance-wise, I would like to see more ability to audit from a user perspective, where I could extrapolate what the user was thinking or trying to do."
"Purview's data loss prevention for macOS endpoints has some limitations, and the end-user experience of recovering from a failure is lacking."
"It supports only a limited number of tools and technologies that pertain to Microsoft products. If you want to leverage other solutions such as Workday or Oracle Fusion, features will be coming up, but as of now, it is for the Microsoft suite."
"The custom data classification for the African region needs to be improved."
"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."
 

Pricing and Cost Advice

"The price is reasonable considering its value."
"Some people find the tier licensing system complicated, but it offers a lot of value for money if we use the features."
"The pricing is moderate. It's not too expensive, but it's not the most competitive."
"The solution is extremely affordable for the K-12 space."
"People often and unjustly say that Microsoft product pricing is not in the scope of reality, that it's just too expensive at times. I do not feel that is the case at all... If I'm able to let go of 30 to 70 percent of my IT administration staff, that makes up for a lot of money."
"It's not cheap. I'm not exactly sure how much our license costs, but it is very expensive."
"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."
"To get the full features of Purview, we currently need E5 enterprise licenses, which are 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
14%
Computer Software Company
10%
Government
9%
Manufacturing Company
8%
Manufacturing Company
19%
Financial Services Firm
13%
Government
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise13
Large Enterprise31
No data available
 

Questions from the Community

What do you like most about Microsoft Azure Purview?
It is designed to seamlessly connect to various data sources, which is particularly beneficial for our customers who primarily use Microsoft technologies.
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?
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 appr...
Ask a question
Earn 20 points
 

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 Purview Data Governance vs. SAP Data Hub and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.