We performed a comparison between Microsoft Purview Data Governance and SAP Data Hub based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."I really like the entire system for auto-labeling content. It's a very refined system. I use the Keyword Query Language to define refined string-based metadata, and then I can really go deep into the specific data with the specific properties labeled in such and such a way."
"We can prevent, block, or audit however we like."
"Purview helps mitigate risk and allows us to govern the information being shared among apps and devices."
"It is designed to seamlessly connect to various data sources, which is particularly beneficial for our customers who primarily use Microsoft technologies."
"I don't know if I've gotten much value out of Purview personally, but our security team loves it. Our biggest concern is leakage or theft of our data because we have a lot of PII and stuff that has not been released. We like the insights Purview provides and the way the solution can track and manage things. I'd say that was probably their favorite piece of it so far. From everything the security team has told me, the policy management and DLP features are working spectacularly."
"The ability to classify data quickly and effortlessly is arguably Microsoft Purview's most valuable feature."
"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."
"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."
"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."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"Overcoming certain control issues would significantly enhance our overall satisfaction."
"Frequent daily updates from Microsoft can cause interface elements like buttons to appear and disappear, making navigation unpredictable."
"There are some limitations with regard to the lineage of data from different parts of the system."
"I would like to have complete video documentation for training."
"The custom data classification for the African region needs to be improved."
"We have had a lot of issues since we moved to Unified Support. There have been work gaps there, and we believe they fixed them, but we need to make sure that they are going to be sustainable. It is to be seen."
"One area for improvement is the detection of data types. This is really important. It has some of that functionality, but I consider it very limited. Maybe they can add some custom programming or machine learning could be particularly useful for the detection of the nature of the data."
"The technical support has room for improvement."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"The company has everything offshore."
"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."
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Microsoft Purview Data Governance is ranked 1st in Data Governance with 48 reviews while SAP Data Hub is ranked 26th in Data Governance with 3 reviews. Microsoft Purview Data Governance is rated 7.6, 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 Palantir Foundry.
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