Microsoft Purview Data Governance vs SAP Data Hub comparison

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

"My favorite Purview feature is auto-scanning. Once we set up Purview, we can automatically scan multiple data sources when new data comes into specific databases, like SQL and Oracle. We don't need to rediscover the new data or do anything manually because it automatically happens."

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

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

"I like Purview's data discovery features. It automatically scans and identifies all the fields. In the last project, the customer required us to have some of the codes we specified in this, and we had to structure the codes in a specific way. We can define the structure."

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

"One of the best features is the classification rules, especially the scan rule sets. They are really useful, especially when we need to understand the current data the company has to ensure that all the problematic data can be put under someone's responsibility."

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

"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"

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

"It is lacking a bit because I've opened some tickets, and it's taken months to resolve, or I've never even had them resolved."

"The support could be better, particularly with consulting."

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

"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."

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

"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."

"There are negatives to the compliance aspect of Purview in that you get a lot of false positives with some of the native scanning and rules in the platform. A lot of them need tweaking to get a more realistic handle on what data there is."

"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."

"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."

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

"The price is a little bit high, but it's worth the money because it has a lot of features."

"Microsoft Purview is the best option I have encountered when it comes to price. Maybe some of my information is outdated, but Microsoft offered it so that you could use it almost without paying."

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

"The price is reasonable considering its value."

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

"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."

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