Microsoft Purview Data Governance vs SAP Data Hub comparison

"The DLP part and the AI related ones are the most valuable features; I mostly appreciate their automated data discovery."

"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."

"I think Purview does as good a job...I'll say that it is as stable as the data governance maturity that exists within an organization. It can't be more stable than that."

"Data authentication enables us to classify documents based on whether they should be restricted for internal consumption or permitted for external sharing."

"Purview's greatest benefit for us is data discovery."

"The user interface is highly intuitive and user-friendly."

"Overall, Purview is quite good for helping you stay on top of compliance."

"Microsoft Purview offers data protection across a multi-cloud and multi-platform environment."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

"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."

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"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."

"There are some non-Microsoft file formats that are not supported."

"I have some concerns about the separation of roles in Purview from the Microsoft tenant, as well as how they interact with the security portal and endpoint manager."

"The Microsoft Purview data connector platform, which supports ingestion from non-Microsoft data sources, can be somewhat complex."

"There are some limitations with regard to the lineage of data from different parts of the system."

"One area for improvement is the detection of data types. This is really important."

"The support could be better, particularly with consulting."

"We haven't really gotten too far into it to identify areas for improvement just yet."

"The company has everything offshore."

"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."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"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."

"Some people find the tier licensing system complicated, but it offers a lot of value for money if we use the features."

"Microsoft Purview has a pay-per-use pricing model, so it's one of the most cost-effective tools, as your cost will be based on your usage. It's a pricing model that Microsoft has nailed down, making it great whether you're a small organization or a multinational, giant organization."

"Microsoft Purview requires a Microsoft 365 license and is included with an E5 license."

"The pricing is reasonable because it's part of the 365 E3 or E5 license you buy."

"The pricing is moderate. It's not too expensive, but it's not the most competitive."

"The price is reasonable because most of our clients already have an E3 license, which makes implementation easy."

"There is some competition out there, but the other solutions are quite expensive. They are enterprise tools that are a bit more mature but the license costs $100,000 for some of them. Purview is pay-per-use and a lot of companies are interested in that."

"It is cheap. It is based on consumption. If somebody wants to start using it, the price is definitely cheaper than a tool like Collibra."

"The Cloud is very expensive, but SAP HANA previous service is okay."