We performed a comparison between Microsoft Purview Data Governance and SAP Data Hub based on real PeerSpot user reviews.
Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Has a good interface and is reasonably priced."
"It has notable features for maximizing the value of your data. The data discovery and the data analytics parts are great both on-premises and on-cloud."
"The audit log has been a lifesaver for a lot of reasons. Historically, when using SaaS products, there were always questions about how the audit was going and whether we were sufficient out of the box. Purview has many capabilities available through centralized reporting that provide a view of a specific segment."
"The data classification part of the solution is excellent, especially as it gives us an insight into our sensitive data within Microsoft 365."
"Microsoft Purview's most valuable feature is its ability to identify content across a number of prescribed regulatory frameworks, including Microsoft, GDPR, PII, and UCC Financial."
"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."
"Microsoft Purview is extremely stable."
"Microsoft Purview stands out for its automatic data recovery system, which prioritizes critical data for the fastest restoration."
"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 is room for improvement when it comes to Purview's data connector platform in supporting ingestion from non-Microsoft data sources."
"The current event-based retention management is very poor."
"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."
"Overcoming certain control issues would significantly enhance our overall satisfaction."
"Enhancing the tool's capability to connect to multiple sources would be valuable."
"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."
"Microsoft Purview's compliance processes for handling various Mac and iOS devices could be significantly improved."
"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."
"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."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
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Microsoft Purview Data Governance is ranked 1st in Data Governance with 51 reviews while SAP Data Hub is ranked 27th in Data Governance with 3 reviews. Microsoft Purview Data Governance is rated 7.8, while SAP Data Hub is rated 7.6. The top reviewer of Microsoft Purview Data Governance writes "User friendly with good documentation but needs to cover more non-Microsoft use cases". On the other hand, the top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". Microsoft Purview Data Governance is most compared with Collibra Governance, Alation Data Catalog, Varonis Platform, Informatica Axon and Microsoft Intune, whereas SAP Data Hub is most compared with SAP Data Services, Alation Data Catalog, Collibra Governance, Azure Data Factory and Qlik Replicate. See our Microsoft Purview Data Governance vs. SAP Data Hub report.
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