Microsoft Purview Data Governance vs SAP Data Hub comparison

"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."

"I use the tool in projects as a medium to provide information as reports to the stakeholders."

"The e-discovery search is useful."

"Purview's greatest benefit for us is data discovery."

"Microsoft Purview offers data protection across a multi-cloud and multi-platform environment."

"The most valuable aspect of Purview is its PowerShell connectivity, enabling automation."

"It starts off with records management, insider risk management, and information protection. And there is the discovery of the clouds, and we can get analytics on that as well, so that we know which user is using which cloud application and for how much time. The Activity explorer tells us which user was transferring out what data at what moment and on which device, including the serial number."

"It is critical that Purview delivers data protection across multi-cloud and multi-platform environments. That is the number one reason that people are adopting hybrid and best-of-the-breed approaches. Especially in banking, it is critical because people want to protect, govern, and secure their data. This is one of the first conversations that happens with security and the architecture group on the client side."

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"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"

"It could reduce pricing to encourage usage."

"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."

"Compared to Big-ID, Microsoft Purview Data Governance looks complicated to me. I do not feel it has a good user-level UI."

"Compared to Big-ID, Microsoft Purview Data Governance looks complicated to me. I do not feel it has a good user-level UI."

"In terms of the competence of the tools with the Microsoft ecosystem, the product can do better."

"The Microsoft Purview data connector platform, which supports ingestion from non-Microsoft data sources, can be somewhat complex."

"We've had a few issues with the scanner. It runs perfectly one day, and on another day, it will run the whole night. It's probably related to the rules. If I set some compliance rules and apply the rules to any column, I can't delete it. I have to disable it and reactivate it."

"The current event-based retention management is very poor."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"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."

"The company has everything offshore."

"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."

"Purview is included in our Microsoft E5 licensing."

"Purview's price is pretty high when you factor in storage costs."

"To get the full features of Purview, we currently need E5 enterprise licenses, which are expensive."

"While Purview's standard pricing might not be accessible to most small businesses, we were fortunate to benefit from the educational pricing which made it a financially viable option for our needs."

"Microsoft Purview Data Loss Prevention is not cheap."

"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."

"The price is reasonable because most of our clients already have an E3 license, which makes implementation easy."

"The Cloud is very expensive, but SAP HANA previous service is okay."