What I like best about SAP Datasphere is how it preserves business context when pulling data from SAP systems. In finance and billing, data without context is essentially useless, you need to know not just the numbers, but what they mean, where they come from, and how they relate to business processes. Datasphere does that automatically by reusing semantic definitions from SAP applications like S/4HANA Review collected by and hosted on G2.com.

Honestly, the biggest frustration for me is the interface slowness. When you’re working through data modeling tasks saving, previewing, jumping between views the delays really add up. It’s a cloud product, but it doesn’t always feel like it compared to other cloud tools Review collected by and hosted on G2.com.

First thing first — the data integration part is genuinely good. We had multiple source systems and connecting them was not that painful as I was expecting. The virtual data models are quite helpful, you don't always need to physically move data which saves lot of time and storage cost both.

The UI is okay-okay types. Not very intuitive at first, I will be honest. It took me maybe 2-3 weeks to properly understand where things are and how the flow works. But once you get hang of it, navigation becomes manageable.

Performance wise, for large datasets the query speed is satisfactory. Not blazing fast but not too slow also. For our reporting requirements it is meeting the expectations mostly. Review collected by and hosted on G2.com.

First and biggest pain point — documentation is really not up to the mark. Many times I searched for specific configuration steps and either got outdated SAP help portal pages or had to dig through multiple community threads on SAP Answers forum. For a product of this price range, documentation should be much better.

Second thing — the initial setup and onboarding is quite overwhelming. There are so many concepts like Space management, Data Builder, Business Builder etc. For someone coming fresh it feels like too much at once. My organization had to arrange separate training sessions just to get team comfortable with basic workflows.

Third — licensing and pricing structure is not very transparent. It is difficult to estimate costs beforehand, and for mid size companies this becomes a concern during budget planning.

Also error messages are sometimes very vague. When something fails in data pipeline, the error description doesn't always tell you exact root cause. You end up spending hours just to figure out what went wrong. Review collected by and hosted on G2.com.

Honestly, the best thing about SAP Datasphere is that it finally stops treating data like a bunch of random spreadsheets and starts treating it like an actual business.

If you’ve ever pulled data out of an ERP only to realize you lost all the "logic" (like what a 'Profit Center' actually means or how 'Gross Margin' is calculated), you know the pain. Datasphere keeps that "DNA" intact. Review collected by and hosted on G2.com.

To be real, as much as it solves the "SAP-to-SAP" headache, Datasphere can be pretty frustrating when you step outside that bubble, the price tag, non-SAP connectivity, the "beta" feel, performance tinkering Review collected by and hosted on G2.com.

SAP Datasphere excels in its ability to seamlessly integrate with the broader SAP ecosystem. The architecture empowers business users with self-service data modeling, allowing for faster insights without needing constant IT intervention. The transition from SAP Data Warehouse Cloud has also brought improved governance and unified data access. Review collected by and hosted on G2.com.

SAP Datasphere comes with a steep learning curve. Additionally, the pricing and licensing structures can be difficult to navigate and optimize for mid-sized organizations. Review collected by and hosted on G2.com.

building a single business data fabric that unifies SAP and non‑SAP data, so it’s easier to access real‑time insights, strong governance, and give both IT and business teams a simple, intuitive way to collaborate side by side. Review collected by and hosted on G2.com.

The high costs make it less accessible for smaller organizations. Performance can also lag when handling very large datasets, and the overall user experience often feels complex, which slows adoption and makes collaboration across teams more difficult. Review collected by and hosted on G2.com.

I use SAP Datasphere as a Centralized Data Integration product for our data assets and find it very user-friendly. It effectively pulls data from various SAP and non-SAP sources, providing a single unified view of our business data, solving painful enterprise data problems. Additionally, I appreciate that it was very easy to set up initially and get running. It's a great product, and I hope they keep doing the great work. Review collected by and hosted on G2.com.

It is a bit expensive and there is a learning curve to use it. Review collected by and hosted on G2.com.

I like using SAP Datasphere to integrate, process, and analyze data from multiple sources in real-time. It provides real-time insights that improve decision-making and project efficiency. I appreciate how the real-time processing and reliable data delivery allow me to access and analyze up-to-date data as soon as it's available, helping me make faster and more informed decisions. This also reduces errors and delays that used to happen with manual data handling, making my workflows much smoother and more efficient. Additionally, I found the setup was easy, which was a big plus. Review collected by and hosted on G2.com.

Advanced configuration is limited and the learning curve is steep. More flexible config for complex pipelines and better tutorials for advanced workflows would help. Review collected by and hosted on G2.com.

Spaces = clean isolation. I can spin a sandbox space per branch, wire connections, and run pipeline tests without stepping on prod models. It’s the right level of multi-tenant for QA.

Semantic layer with teeth. Business entities/measures live in one place (dimensions, associations, units/currencies). We write “contract tests” against the model, not brittle SQL, if someone drops a KPI or changes a type, CI fails loudly.

Virtualize first, replicate when needed. Being able to federate queries to S/4HANA/BW or stage extracts into HANA Cloud keeps performance decent while avoiding data sprawl. Our tests cover both paths using the same artifacts.

Decent lineage & impact analysis. When a column rename lands upstream, lineage shows which views/calculations break. I can link an impact report to a failing test and the owner knows exactly where to patch.

Transportable configs. Moving artifacts from dev -> test -> prod is predictable; we version transports next to our test code, so rollbacks are boring.

BW Bridge for the real world. Legacy BW content doesn’t block us; we can validate migrated models side-by-side with new ones until parity tests pass.

Tight with SAC. For UAT, we point a SAC story at the test space and stakeholders validate numbers without bespoke extracts. Review collected by and hosted on G2.com.

UI latency at scale. Big models make the modeling UI feel heavy; complex Data Flows are sluggish to edit.

Error messages are terse. Federation/privilege errors often read like riddles, you end up checking remote system logs to learn what actually failed.

Transform limits. Graphical transforms cover 80%; the last 20% still needs SQLScript or external prep.

Transport gotchas. Dependency ordering can bite, miss one shared artifact and your pipeline deploy looks “green” but doesn’t run. Review collected by and hosted on G2.com.

I love SAP Datasphere for managing databases and procurements because it's been great and easy to navigate. I find the interface user-friendly, which makes tasks straightforward. I also appreciate the simplification, easy access, data protection, and analytics capabilities it provides. Its smooth setup, aided by the interface and an accessible knowledge base, is a plus for me. Review collected by and hosted on G2.com.

I think the time it takes for a user to be logged out is too short, with just a few minutes of no movement or interaction. Review collected by and hosted on G2.com.

What I like most about SAP Datasphere is that it unifies data from different sources (SAP and non-SAP) in one place. It’s also helpful because it simplifies data modeling and makes it easy to use data in analytics tools like SAP Analytics Cloud. Review collected by and hosted on G2.com.

It can be complex to set up and requires a learning curve. It’s not very intuitive and can feel difficult for users who are used to working with traditional SAP systems. It can also be relatively expensive, and performance tuning or advanced scenarios may require additional expertise. Review collected by and hosted on G2.com.