SAP Datasphere

Datasphere Spaces empower business users to model distinct data areas and define data products autonomously. These protected spaces independently manage resources, connections, data, and access, promoting data democratization while ensuring stability. Additionally, using separate spaces allows for costs to be distributed across different departments.

Use the Data Marketplace to facilitate data exchange within your company or with external partners.

Datasphere supports a broad range of source system types, making data integration straightforward. If additional integration is needed, the SAP Integration Suite provides a robust complement. Through Semantic Onboarding, Datasphere retains the context of source systems, enhancing usability. Integration in Datasphere goes beyond data consumption; it also supports data sharing with other systems, such as data lakehouses like Databricks.

With its partnership with Collibra, Datasphere offers comprehensive data governance across both SAP and non-SAP systems.

Technologically, Datasphere is powered by the high-performance SAP HANA Cloud, complemented by the SAP HANA Data Lake. Together, they support advanced analysis of unstructured data with the Vector Engine, as well as enhanced AI applications. Structured data queries benefit from reduced inaccuracies thanks to the Knowledge Graph, which adds contextual connections and automatically networks data. These advancements make Datasphere more accessible to a broader audience than a traditional Data Warehouse.

Datasphere’s users are no longer just report recipients or planners—Data Scientists can now access raw data, work with Python or R, and leverage AI. With these new AI-driven capabilities, data quality becomes even more essential. Datasphere acts as the core of a Data Fabric strategy, providing reliable data products. This shift, however, requires a cultural change and new responsibilities within organizations, as data silos need to be dismantled.