Microsoft Purview Data Governance vs SAP Data Hub comparison

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

"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."

"The data classification part of the solution is excellent, especially as it gives us an insight into our sensitive data within Microsoft 365."

"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."

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

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

"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."

"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."

"I lose a little bit of that control when we're talking about third-party connectors. Compliance-wise, I would like to see more ability to audit from a user perspective, where I could extrapolate what the user was thinking or trying to do."

"We've had a few issues with the scanner. It runs perfectly one day, and on another day, it will run the whole night. It's probably related to the rules. If I set some compliance rules and apply the rules to any column, I can't delete it. I have to disable it and reactivate it."

"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."

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

"There is room for improvement when it comes to Purview's data connector platform in supporting ingestion from non-Microsoft data sources."

"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."

"Data quality has been a highly requested feature among customers."

"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."

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

"The price is reasonable because most of our clients already have an E3 license, which makes implementation easy."

"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."

"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."

"I consider it cost-efficient because of the metrics it provides."

"Microsoft Purview requires a Microsoft 365 license and is included with an E5 license."

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