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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

"I really like the entire system for auto-labeling content. It's a very refined system. I use the Keyword Query Language to define refined string-based metadata, and then I can really go deep into the specific data with the specific properties labeled in such and such a way."
"The DLP part and the AI related ones are the most valuable features; I mostly appreciate their automated data discovery."
"The custom classifications are one of the most valuable features."
"I think Purview does as good a job...I'll say that it is as stable as the data governance maturity that exists within an organization. It can't be more stable than that."
"The reporting is excellent. Limiting what people can see is also valuable, especially when tagging documents."
"The most significant value lies in its seamless integration into the Azure ecosystem, automating various processes and reducing operational burdens."
"The data lineage feature stands out. It tracks where the data comes from and any changes made."
"Purview's ability to connect to iOS, Mac, and Android devices is critical."
"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."
"The most valuable feature is the S/4HANA 1909 On-Premise"
 

Cons

"Microsoft Purview's compliance processes for handling various Mac and iOS devices could be significantly improved."
"Reflecting organizational changes within Purview is impractical."
"One of the challenges is that Microsoft changes things so quickly that sometimes you're just playing catch-up, and sometimes these changes aren't communicated effectively."
"Although you can explore the data, that creates a great interest in data lineage or the data flow. How does it go from a source to a platform to a Power BI report, for example? It is possible, to some extent, to see that with Purview, but the lineage feature requires some manual work on the development side or more work from Microsoft to improve on it."
"One area for improvement is the detection of data types. This is really important. It has some of that functionality, but I consider it very limited. Maybe they can add some custom programming or machine learning could be particularly useful for the detection of the nature of the data."
"Purview's data connector platform for non-Microsoft data sources is good, but there is some functionality that hasn't been developed yet. There are some servers that it can't connect to yet, because they're still in a trial process."
"I would like to have complete video documentation for training."
"Some of the menu headings may not be easy to understand for some people."
"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

"The categorization within the licensing could be improved. There are a lot of solutions within Microsoft Purview. If the licensing could be a bit clearer and the solutions could be better categorized according to function and across multiple environments, that would be excellent. The licensing is very confusing."
"Microsoft Purview is expensive."
"Microsoft Purview requires a Microsoft 365 license and is included with an E5 license."
"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 reasonable because most of our clients already have an E3 license, which makes implementation easy."
"The price is a little bit high, but it's worth the money because it has a lot of features."
"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."
"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
15%
Computer Software Company
10%
Government
9%
Manufacturing Company
8%
Manufacturing Company
19%
Financial Services Firm
14%
Government
10%
Computer Software Company
9%
 

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.
880,511 professionals have used our research since 2012.