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.
"The time to onboard is pretty short."
"One of the best features is the classification rules, especially the scan rule sets. They are really useful, especially when we need to understand the current data the company has to ensure that all the problematic data can be put under someone's responsibility."
"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."
"The user interface is highly intuitive and user-friendly."
"The cataloging tool is definitely the most valuable... It tells you about all the data you have in your tables, which helps people understand our data. We now know what data we have."
"Microsoft Purview's most valuable feature is its ability to identify content across a number of prescribed regulatory frameworks, including Microsoft, GDPR, PII, and UCC Financial."
"Their data labeling or data classification is particularly valuable because we want to categorize all of our data into confidential, public, or internal."
"The best part is that I can create classifications per my requirements. I use it to classify multiple platforms like AWS, GCP, Azure, and different file sharing systems."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"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."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"The API needs some improvement when connecting to non-Microsoft API sources. This is a limiting factor."
"The product needs improvement to edit the number of assets. It needs to be more inuitive as well."
"Data quality has been a highly requested feature among customers."
"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."
"Reflecting organizational changes within Purview is impractical."
"I would like to have AI functionality on the dashboard to help me analyze and report on the data that we capture using Purview on a daily basis."
"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."
"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."
"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."
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.
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.
