I like SAP Datasphere for its ease of organization and ease of use. The user experience design is quite simple and nice. The initial setup was seamless with no problems at all. The customer support is impeccable. Moreover, it is our go to tool, and is frequently used in our daily operations. The UI/UX makes it very easy to integrate in our daily operations. Review collected by and hosted on G2.com.

There is nothing to dislike about the SAP Datasphere platform, specifically because it solves all the major organisational issues related to all kinds of data needed for smooth operations. Review collected by and hosted on G2.com.

What I appreciate most is the ease of integration. Since I work with automation frameworks such as Python and Jenkins, I need tools that can interact seamlessly with my scripts, and Datasphere does this very effectively through its CLI. I don't have to manually navigate the UI to deploy changes or set up a test space. I simply run a command and it's taken care of. This also contributes to the ease of implementation. Moving a new data model from development to a QA environment is straightforward because we can automate the entire upload process. It saves us a significant amount of time. I use Datasphere constantly, pretty much every time a developer commits code, and it manages the frequent updates without any issues. Honestly, what I value most is being able to skip the manual steps and manage the infrastructure as code. Review collected by and hosted on G2.com.

Honestly, the documentation for specific CLI commands can sometimes be a bit sparse. For example, when I encounter an unusual edge case while scripting a deployment, it often takes considerable effort to track down the exact flag I need. Additionally, when automation fails, the error messages returned by the CLI are often vague. Sometimes, it simply reports 'failed' without specifying which part of the JSON model was incorrect, which means I end up spending extra time debugging or combing through logs. Once everything is set up, it works very well, but troubleshooting during the setup phase can be frustrating. Review collected by and hosted on G2.com.

Available as a service, this solution does not require dependence on the traditional BW system from SAP. It allows data to be transferred to multiple targets, and I found the integration with Snowflake to be straightforward and effective. Review collected by and hosted on G2.com.

The CDS views and customization options on the S/4 side still feel somewhat immature. Additionally, the note analyzer, which serves as a backbone for addressing bugs in S/4, is updated too frequently and requires a significant amount of ongoing maintenance. Review collected by and hosted on G2.com.

What I like best about SAP Datasphere is how seamlessly it brings together data from SAP and non-SAP systems into a single, well-governed semantic layer. The unified modeling experience, strong business context, and built-in governance make it much easier to maintain trustworthy data across complex landscapes. Its ability to virtualize data without heavy replication also saves time, reduces overhead, and keeps data fresh. Overall, Datasphere lets teams get to insights faster with far less integration effort. Review collected by and hosted on G2.com.

While SAP Datasphere is powerful, a few areas still need improvement. The performance can slow down when working with large virtualized datasets, and some advanced features require additional configuration or licensing, which increases complexity. The UI, though improved, can feel less intuitive for complex modeling tasks. Integration with certain non-SAP sources also requires extra setup, and debugging data flows isn’t always straightforward. Review collected by and hosted on G2.com.

I appreciate the seamless integration SAP Datasphere offers with both SAP and non-SAP sources, which keeps the data context intact. The strong data modeling and semantic capabilities make it easy to build reliable analytical layers. Additionally, I value the real-time data access, which enhances collaboration between business and IT teams, allowing everyone to use the same trusted data without duplication or complex transfers. The data modeling layer and data federation features are particularly valuable because they enable us to combine data from multiple systems without moving it, saving time and maintaining data consistency across the organization. The transition from SAP Data Warehouse Cloud to SAP Datasphere has been beneficial, providing us with more advanced data integration, better governance features, and improved flexibility for managing complex data landscapes. The initial setup was generally smooth, especially for SAP integrations, and the guided setup, along with the available documentation, made the process manageable. Review collected by and hosted on G2.com.

Some configurations can be a bit complex, especially when setting up permissions and roles. Performance could also improve when handling very large or highly complex data models. Better documentation and examples would help new users get started faster. Review collected by and hosted on G2.com.

I like the connections to SAP Systems because they make it easy to get the data into SAP Datasphere. Review collected by and hosted on G2.com.

I think the interface is too slow. Review collected by and hosted on G2.com.

I find the UI of SAP Datasphere really intuitive. Despite my data team having no previous experience with any SAP tools, it wasn't hard for us to quickly get used to it, set replication flows, and understand the CDS views dictionary. Review collected by and hosted on G2.com.

That o have to use to extract my data from SAP Review collected by and hosted on G2.com.

It’s a reliable self-service analytics tool with a clean, intuitive UI/UX, straightforward SAP integration, and fast, real-time access to data. The cloud pricing feels fair, and the enterprise support is strong as well. Review collected by and hosted on G2.com.

If you’re new to SAP data modeling concepts, the learning curve can feel steep. It also has limited out-of-the-box AI features compared to other platforms. Its dependency on the SAP ecosystem is noticeable, and the UI could be more polished and flexible. Review collected by and hosted on G2.com.

I appreciate the features of SAP Datasphere, especially the syndication of data, which solves the problem of data syndication for me. The initial setup was also easy. Review collected by and hosted on G2.com.

Data flow management Review collected by and hosted on G2.com.

What I like most about SAP Datasphere is its ability to combine strong data integration with a clear business context, so users can work with meaningful, trusted data without unnecessary duplication. Review collected by and hosted on G2.com.

What I dislike about SAP Datasphere is that it can feel complex, expensive, and sometimes slow, especially when working with large datasets or outside the SAP ecosystem. Users often mention performance issues, a steep learning curve, and tricky integration with non-SAP tools. Review collected by and hosted on G2.com.