Microsoft Purview Data Governance vs SAP Data Hub comparison

"The user interface is highly intuitive and user-friendly."

"Purview's ability to connect to iOS, Mac, and Android devices is critical."

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

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

"Their data labeling or data classification is particularly valuable because we want to categorize all of our data into confidential, public, or internal."

"Microsoft Purview is extremely stable."

"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."

"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."

"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."

"The API needs some improvement when connecting to non-Microsoft API sources. This is a limiting factor."

"The product needs improvement to edit the number of assets. It needs to be more inuitive as well."

"Purview's data loss prevention for macOS endpoints has some limitations, and the end-user experience of recovering from a failure is lacking."

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

"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."

"Frequent daily updates from Microsoft can cause interface elements like buttons to appear and disappear, making navigation unpredictable."

"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."

"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."

"The company has everything offshore."

"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."

"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."

"Microsoft Purview is expensive."

"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."

"Microsoft Purview is a subscription-based service, so we need either an E3 or E5 license to use it."

"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."

"The pricing is moderate. It's not too expensive, but it's not the most competitive."

"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 pricing is decent. It is neither too low nor too high. Given its capabilities, the pricing is justified."

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