It provides a business data fabric layer in the cloud, delivering a unified data experience along with analytical capabilities. This is a relatively new concept for us, but it looks valuable. Review collected by and hosted on G2.com.

There’s really nothing I don’t like about this product. That said, I haven’t had much time to use it yet. Conceptually and in theory, it looks really good. Review collected by and hosted on G2.com.

I like SAP Datasphere's easy user interface, which makes it simple to use. I also like the masking functionality, as it allows us to be compliant with PII regulations. The initial setup was fairly easy. Review collected by and hosted on G2.com.

The existing version of S4 does not allow for good connectors. Data replication is not reliable and can take up to 24 hours. Review collected by and hosted on G2.com.

I really like the ease of usage with SAP Datasphere. Coming from a different field, it was really easy and handy to pick up, especially with the support from my colleagues. The transfer of knowledge in terms of this software is quite smooth, and I can easily learn from others. I also appreciate how we can save interfaces or views that we've built, which makes learning and usage more straightforward. Review collected by and hosted on G2.com.

I think sometimes when we have very, very large lists, scrolling down and selecting the right stuff is pretty hard. But then, there's a source dump interface which came in handy. Review collected by and hosted on G2.com.

Easy to use no need for prior specific education! Thanks for the SAP provideers and for my company to choose SAP.

In addition, SAP Datasphere is a unified, cloud-based data service built on the SAP Business Technology Platform (BTP) that provides a comprehensive business data fabric for data integration, cataloging, semantic modeling, data warehousing, and virtualization across SAP and non-SAP data sources. Review collected by and hosted on G2.com.

Dislikes about SAP Datasphere include high costs and lack of scalability for small businesses, performance issues with large datasets, complex integration with non-SAP tools, a steep learning curve, intricate data modeling and setup processes, and frequent, sometimes disruptive UI changes. Review collected by and hosted on G2.com.

I appreciate SAP Datasphere for balancing technical flexibility with enterprise governance, which is especially important for our work. I like that it preserves SAP business semantics when integrating with systems like SAP S/4HANA. The data virtualization capabilities are great for accessing certain datasets while keeping sensitive clinical data protected. I also value the cloud scalability, which is beneficial when new grants come in. Review collected by and hosted on G2.com.

The learning curve is steep - it could be more simplified and there could be improved performance for mixed workloads. Review collected by and hosted on G2.com.

I appreciate the ease of use of SAP Datasphere and the time savings it provides. The integration, preparation, and availability of data are done more quickly, with fewer manual manipulations. I like being able to quickly integrate multiple sources, model the data simply, and share it easily. This reduces manual tasks, limits errors, and speeds up the production of reliable analyses. Review collected by and hosted on G2.com.

The tracking of flows and the diagnosis of errors could be more detailed: more explicit logs, more comprehensive alerts and monitoring. Review collected by and hosted on G2.com.

I like that SAP Datasphere keeps the business meaning of SAP data when you bring it into your models. This makes the work easier because you do not need to rebuild logic that already exists in the source systems. I also like that you can join SAP data with non SAP data in one place. The visual modeling helps both technical and business users work together. It feels like a modern and trusted layer for analytics. Review collected by and hosted on G2.com.

I dislike that some features still feel slow or not fully mature. Complex modeling can require many steps, and performance is not always consistent with large data sets. The user interface can also feel confusing at times for new users. Review collected by and hosted on G2.com.

I like the simplified architecture of SAP Datasphere and the possibility of connectivity with other systems, even those that are not SAP. Additionally, I appreciate the focus on the end customer. Review collected by and hosted on G2.com.

For now, we still have performance issues, we are confirming if they are configuration issues, but currently this is the biggest problem I have. Review collected by and hosted on G2.com.

I like the cross system integration. I think that makes the work really easy keeping the functionalities and logics alive. Also with the current tech landscape I also like that we can access data in real time from sources. Review collected by and hosted on G2.com.

I guess it takes time to get upto speed with it and a little tricky for some one who does not understand much about sap concepts . Since it's a little different even the people familiar with other tools also take time to adjust. Review collected by and hosted on G2.com.

I like that SAP Datasphere can handle a large volume and can read pretty much all CDS views on SAP S/4. It's great that it can identify incremental or delta data, which makes it a pretty good comprehensive data fabric tool, especially for performing all the reporting within the SAP ecosystem. Review collected by and hosted on G2.com.

It works very well within the SAP ecosystem, but it has limitations on connectivity with other external databases and data warehouse environments like Snowflake and Oracle. Some technical adjustments are needed. Review collected by and hosted on G2.com.