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."The most significant value lies in its seamless integration into the Azure ecosystem, automating various processes and reducing operational burdens."
"Microsoft Purview's primary benefit lies in safeguarding sensitive and confidential data, thereby mitigating the risk of internal data exfiltration."
"I use the tool in projects as a medium to provide information as reports to the stakeholders."
"Data authentication enables us to classify documents based on whether they should be restricted for internal consumption or permitted for external sharing."
"Data segregation is the most valuable feature."
"The ability to classify data quickly and effortlessly is arguably Microsoft Purview's most 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."
"Instead of having to manually write down which tables and columns exist and then describe them, you can do that process in one go, by simply connecting to a source. That's a huge time-saver and a great benefit of Purview."
"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."
"Reflecting organizational changes within Purview is impractical."
"There are some non-Microsoft file formats that are not supported."
"The custom data classification for the African region needs to be improved."
"The technical support has room for improvement."
"Privacy features should be integrated into the core product rather than offered as optional add-ons, as privacy is not a luxury but a fundamental requirement."
"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."
"While Purview's data connector platform can ingest information from non-Microsoft data sources, it is slow to do so and the information may become outdated."
"Purview's data connector platform for non-Microsoft data sources is good, but there is some functionality that hasn't been developed yet. There are some servers that it can't connect to yet, because they're still in a trial process."
"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."
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Microsoft Purview Data Governance is ranked 1st in Data Governance with 51 reviews while SAP Data Hub is ranked 26th 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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