Microsoft Purview Data Governance vs SAP Data Hub comparison

"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."

"Purview helps mitigate risk and allows us to govern the information being shared among apps and devices."

"The most valuable feature is the tracking activity and device onboarding."

"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."

"Microsoft Purview is scalable."

"You can set up automated dates to alert on internal data."

"From my experience and customer feedback, one of the most valuable features of Microsoft Purview is ease of use, especially for content hosted within Microsoft 365 and Azure. I also like that the pricing model for the solution is reasonable."

"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."

"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"

"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."

"The custom data classification for the African region needs to be improved."

"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."

"Licensing is frustrating due to multiple modules and licenses. The feature might be available in the console, but it won't work without the proper license, creating confusion."

"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."

"Privacy features should be integrated into the core product rather than offered as optional add-ons, as privacy is not a luxury but a fundamental requirement."

"Non-Microsoft use cases are not very high. It's limited for now."

"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."

"The company has everything offshore."

"Microsoft Purview Data Loss Prevention is not cheap."

"We pay $15,000 per end user for the E5 license."

"I consider it cost-efficient because of the metrics it provides."

"Purview is included in our Microsoft E5 licensing."

"Currently, the licensing differs for the governance side compared to the risk and compliance side."

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

"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."