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 data lineage feature stands out. It tracks where the data comes from and any changes made."
"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 most valuable feature is the tracking activity and device onboarding."
"Microsoft Purview stands out for its automatic data recovery system, which prioritizes critical data for the fastest restoration."
"Microsoft Purview is scalable."
"From my experience and customer feedback, one of the most valuable features of Microsoft Purview is ease of use, especially for content hosted within Microsoft 365 and Azure. I also like that the pricing model for the solution is reasonable."
"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."
"It gives you the opportunity to know your data and apply policies around it. If those policies are flouted, you can always track what's happening. You have options such as alerting the person who is committing that action, or you can take automatic action by blocking, for example, an email that is been sent externally. It's very useful."
"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."
"Purview's data loss prevention for macOS endpoints has some limitations, and the end-user experience of recovering from a failure is lacking."
"There are some limitations with regard to the lineage of data from different parts of the system."
"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."
"There are differences when looking at an incident in the M365 portal versus Purview, and the main one is the advanced hunting. In the M365 portal, you can write KQL queries and fetch data. If that was available in Purview, it would be very good."
"The current event-based retention management is very poor."
"Data quality has been a highly requested feature among customers."
"The overall cost of deploying this solution could be better. It seems that middle and small-sized organizations are not completely happy with deploying this solution in terms of the cost. It would be good if they concentrate on the cost part."
"Microsoft Purview's compliance processes for handling various Mac and iOS devices could be significantly improved."
"The company has everything offshore."
"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."
More Microsoft Purview Data Governance Pricing and Cost Advice →
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.
See our list of best Data Governance vendors.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.