We performed a comparison between Microsoft Purview 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."Microsoft Purview is extremely stable."
"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."
"The product has helped us save both time and money."
"Data segregation is the most valuable feature."
"The time to onboard is pretty short."
"The most significant value lies in its seamless integration into the Azure ecosystem, automating various processes and reducing operational burdens."
"The most valuable feature is the tracking activity and device onboarding."
"It is pretty early, but the decision to go with this investment was largely driven by the simplification of our information security technology management stack. That is the primary objective. Once you simplify and you have a connected structure, it allows for faster adoption there. It also gives us additional capabilities as we go on using the technology that we are familiar with, and we do not have to depend on outside parties to come in and tell us how to do certain things."
"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"
"he one thing it doesn't do is data quality."
"Two features are unsupported—custom insights and the DLP component—that would be beneficial to me as a consultant and for the customer in terms of security and monitoring. Regarding security, DLP would provide a more granular level of data masking. Custom insights would offer more detailed monitoring and alerts that can notify customers of failures or anything requiring urgent action."
"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."
"I'd like to see them improve the training for implementing this type of solution."
"There is room for improvement when it comes to Purview's data connector platform in supporting ingestion from non-Microsoft data sources."
"The product needs improvement to edit the number of assets. It needs to be more inuitive as well."
"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."
"Another area for improvement is in managing the business glossary terms. If they could provide the same type of method that we use to configure the scan rule sets, that would be helpful. Currently, there is no option like this, so we have to do it manually. Automatic detection would be great."
"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 ranked 1st in Data Governance with 48 reviews while SAP Data Hub is ranked 25th in Data Governance with 3 reviews. Microsoft Purview is rated 7.6, while SAP Data Hub is rated 7.6. The top reviewer of Microsoft Purview 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 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, Azure Data Factory, Palantir Foundry and Collibra Governance.
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