
What I appreciate most is the effort to bring SAP’s data and analytics stack together under a single offering. Having SAP Datasphere, SAP Analytics Cloud, and SAP Databricks managed in one place makes the overall architecture feel simpler than stitching separate products together.
The SAP-managed data products are the most compelling part for me. They expose SAP application data while preserving business semantics, which cuts down on the work that usually goes into extracting and re-modeling S/4HANA data. The zero-copy approach via BDC Connect also feels like a meaningful step for use cases where SAP data needs to be combined with external platforms without duplicating it.
On top of that, the release cadence is fast, with new features arriving regularly, and the roadmap communicates a clear direction toward a business data fabric and AI-ready data. Review collected by and hosted on G2.com.
The licensing model is my main area of concern. Capacity Units are flexible in theory, but in practice consumption is hard to estimate upfront and even harder to monitor consistently. That makes sizing and cost forecasting difficult, especially during pre-sales or in the early phases of a project.
In addition, some capabilities and data products/Insight Apps are still in controlled availability or only on the roadmap, which can make it challenging to distinguish what is truly production-ready today from what has merely been announced. With the product evolving so quickly, documentation, best practices, and community know-how sometimes lag behind the pace of change.
For existing SAP Datasphere, SAC, or BW customers, the transition path and the mapping of current entitlements are not always straightforward either. Overall, the value proposition is strongest in SAP-centric landscapes; in more heterogeneous environments, the benefits need to be evaluated on a case-by-case basis. Review collected by and hosted on G2.com.