Microsoft Purview Data Governance vs SAP Data Hub comparison

"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."

"Data segregation is the most valuable feature."

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

"One important feature is data security, which both end users and the organization seek."

"It is designed to seamlessly connect to various data sources, which is particularly beneficial for our customers who primarily use Microsoft technologies."

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

"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."

"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"

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

"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."

"There are some limitations with regard to the lineage of data from different parts of the system."

"Reflecting organizational changes within Purview is impractical."

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

"If we could have a view something like we have in CrowdStrike—which is, I believe, the biggest competitor to Microsoft when it comes to security—a node nodal view, which we also have in Defender, that would make it a more complete, one-stop solution. That would save a lot of time for the admins and the engineers."

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

"I try to avoid opening tickets with Microsoft due to long response times, which is frustrating."

"I have some concerns about the separation of roles in Purview from the Microsoft tenant, as well as how they interact with the security portal and endpoint manager."

"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."

"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 price is reasonable considering its value."

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

"It's not cheap. I'm not exactly sure how much our license costs, but it is very expensive."

"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."

"Microsoft Purview is priced in the middle. It isn't the cheapest, but it isn't the most expensive. It's affordable compared to other public cloud services."

"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."

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