Microsoft Purview Data Governance vs SAP Data Hub comparison

"The labeling is the most valuable feature for the companies I'm installing it for. Some of them have several thousand staff, and their concerns are around confidential or private data being shared. The labels and the policies involved with them give them that initial visibility."

"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."

"Has a good interface and is reasonably priced."

"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."

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

"The cataloging tool is definitely the most valuable... It tells you about all the data you have in your tables, which helps people understand our data. We now know what data we have."

"The product has helped us save both time and money."

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

"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."

"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."

"There should be more clarity about the costing, particularly how the cost is calculated, especially when utilizing health reports and quality features."

"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."

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

"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."

"We are currently in the rollout phase, so I am not entirely sure about specific areas of improvement. However, there are some problems with DLP rules, and it would be great if the security around DLP could be expanded."

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

"It could reduce pricing to encourage usage."

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

"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."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"The company has everything offshore."

"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."

"The interesting part is how they are bundling the version into the E5 stack. If it was not for that inclusion, this would have been a difficult conversation for us, so kudos to Microsoft on that. Separating it out may become a problem for customer retention. It is definitely a good move on Microsoft's part to include it as part of any existing or any system upgrades for customers that were on E3."

"Microsoft Purview Data Loss Prevention is not cheap."

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

"Purview's price is pretty high when you factor in storage costs."

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

"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."