We performed a comparison between Microsoft Purview Data Governance and SAP Data Hub based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance.
"Microsoft Purview's most valuable feature is its ability to identify content across a number of prescribed regulatory frameworks, including Microsoft, GDPR, PII, and UCC Financial."
"The custom classifications are one of the most valuable features."
"MIP also provides strong information rights management settings, such as the ability to specify who has access to content and at what time."
"I don't know if I've gotten much value out of Purview personally, but our security team loves it. Our biggest concern is leakage or theft of our data because we have a lot of PII and stuff that has not been released. We like the insights Purview provides and the way the solution can track and manage things. I'd say that was probably their favorite piece of it so far. From everything the security team has told me, the policy management and DLP features are working spectacularly."
"It is very easy to learn the interface, and it is very user-friendly."
"Data authentication enables us to classify documents based on whether they should be restricted for internal consumption or permitted for external sharing."
"Instead of having to manually write down which tables and columns exist and then describe them, you can do that process in one go, by simply connecting to a source. That's a huge time-saver and a great benefit of Purview."
"Purview helped us automate and control our data without having to rely on people to manually tag documents with specific retention periods."
"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."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"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."
"Some of the menu headings may not be easy to understand for some people."
"As Microsoft Purview got a little more mature, the deployments got a little more complex, as we were kind of seeing that there are a lot of ways, like there were a hundred ways to do one thing or less."
"Another area for improvement is in managing the business glossary terms. If they could provide the same type of method that we use to configure the scan rule sets, that would be helpful. Currently, there is no option like this, so we have to do it manually. Automatic detection would be great."
"Purview's data loss prevention for macOS endpoints has some limitations, and the end-user experience of recovering from a failure is lacking."
"Running eDiscovery once a day takes quite a long time because it has to fetch your data. I also want the eDiscovery results to be improved. At the same time, I would like to get a centralized page where I could see records management applied to my Office 365 tenant visualized instead of waiting for a custom script to run through the complete tenant."
"Two features are unsupported—custom insights and the DLP component—that would be beneficial to me as a consultant and for the customer in terms of security and monitoring. Regarding security, DLP would provide a more granular level of data masking. Custom insights would offer more detailed monitoring and alerts that can notify customers of failures or anything requiring urgent action."
"There is room for improvement when it comes to Purview's data connector platform in supporting ingestion from non-Microsoft data sources."
"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."
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Microsoft Purview Data Governance is ranked 1st in Data Governance with 48 reviews while SAP Data Hub is ranked 26th in Data Governance with 3 reviews. Microsoft Purview Data Governance is rated 7.6, while SAP Data Hub is rated 7.6. The top reviewer of Microsoft Purview Data Governance writes "User friendly with good documentation but needs to cover more non-Microsoft use cases". On the other hand, the top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". Microsoft Purview Data Governance is most compared with Collibra Governance, Alation Data Catalog, Varonis Platform, Informatica Axon and Microsoft Intune, whereas SAP Data Hub is most compared with SAP Data Services, Alation Data Catalog, Collibra Governance, Azure Data Factory and Palantir Foundry.
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We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
