Microsoft Purview Data Governance vs SAP Data Hub comparison

"The documentation is very exhaustive. Anyone can go ahead and try different use cases."

"MIP also provides strong information rights management settings, such as the ability to specify who has access to content and at what time."

"The availability of pre-designed policies tailored to specific geolocations and customer requirements is a valuable feature."

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

"Microsoft Purview's primary benefit lies in safeguarding sensitive and confidential data, thereby mitigating the risk of internal data exfiltration."

"Microsoft Purview is scalable."

"The DLP part and the AI related ones are the most valuable features; I mostly appreciate their automated data discovery."

"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"

"he one thing it doesn't do is data quality."

"Some of the menu headings may not be easy to understand for some people."

"Auto-tagging should be available at lower levels of licensing. Right now, a high level of licensing is needed for auto-tagging, and this feature should be made available at a lower license level."

"I would like to have AI functionality on the dashboard to help me analyze and report on the data that we capture using Purview on a daily basis."

"Setting up Purview in a production tenant proved challenging due to a lack of clear documentation on permission requirements."

"We haven't really gotten too far into it to identify areas for improvement just yet."

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

"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."

"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."

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

"The solution is extremely affordable for the K-12 space."

"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 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."

"The pricing depends on the client's requirements and the number of applications."

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

"Microsoft Purview is expensive."

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

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