Microsoft Purview Data Governance vs SAP Data Hub comparison

"It is very easy to learn the interface, and it is very user-friendly."

"Microsoft Purview stands out for its automatic data recovery system, which prioritizes critical data for the fastest restoration."

"It's certainly easy to work with all Microsoft data sources like SQL Server, Synapse, and data lakes, but it also has great functionality working with Oracle. And of particular interest to us is the ability to pull data from Excel, CVS files, and other types of flat files."

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

"Purview helped us automate and control our data without having to rely on people to manually tag documents with specific retention periods."

"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."

"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."

"Support should be improved in the form of good documentation and video lessons where a person can check things out. There is a community, but it takes a lot of time if we want to get an answer to a question."

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

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

"One area for improvement is better documentation on what is working and what is not, as well as what features are allowed depending on your licensing model. It's essential to know if a feature isn't working due to missing licenses."

"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."

"There are differences when looking at an incident in the M365 portal versus Purview, and the main one is the advanced hunting. In the M365 portal, you can write KQL queries and fetch data. If that was available in Purview, it would be very good."

"Microsoft Purview's compliance processes for handling various Mac and iOS devices could be significantly improved."

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

"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."

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

"I would rate the cost of Microsoft Purview a six out of ten with ten being the most expensive."

"Microsoft Purview Data Loss Prevention is not cheap."

"Microsoft Purview is expensive."

"It is cheap. It is based on consumption. If somebody wants to start using it, the price is definitely cheaper than a tool like Collibra."

"There is some competition out there, but the other solutions are quite expensive. They are enterprise tools that are a bit more mature but the license costs $100,000 for some of them. Purview is pay-per-use and a lot of companies are interested in that."

"The pricing is reasonable because it's part of the 365 E3 or E5 license you buy."

"Purview is included in our Microsoft E5 licensing."

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