SAP Datasphere in Business Data Cloud
What is SAP Datasphere?
SAP Datasphere is a key component in SAP Business Data Cloud, serving as the knowledge core that unifies semantics, data products, and modelling to preserve business context across hybrid and multi-cloud environments.
Turn data into shared business understanding that powers analytics, applications, and AI by:
Connecting SAP and third-party data sources across an open data ecosystem.
Preserving business context with shared semantics and metadata.
Delivering governed data with business-ready data products.
modelling and harmonising enterprise data for reuse across domains.
The Fabric of Data & AI
On 24 March, hear from SAP’s Irfan Khan and industry leaders shaping the future of data and AI.
Key benefits
Preserve business context across all your data
Maintain universal business context across data, processes, and policies so outcomes are optimised and reflect how your business operates.
Simplify your data landscape
Unify SAP and third-party data in a single, governed foundation to reduce duplication and enable access across hybrid and multi-cloud environments.
Deliver trusted, AI-ready data
Apply shared semantics and reusable data models to deliver consistent, trusted data that accelerates insights and enables context-aware decisions across analytics and AI.
Key features
Unified data integration across every pattern
Connect data sources using the right pattern, including batch, streaming, replication, or data federation, while preserving business semantics across hybrid and cloud environments.
Analytical and semantic modelling
Build multi-dimensional views of data with analytic models that define measures, hierarchies, and semantics, ensuring consistent structure and understanding across workloads.
Knowledge graph for connected context
Map relationships across data and business processes to surface meaningful patterns and provide the trusted context AI agents need to act with confidence.
Data product creation and sharing
Explore SAP-managed data products in the Catalogue, build custom ones using SAP Business Data Cloud, or enrich data with external industry sources via the Data Marketplace.
Governed, self-service data access
Organise and govern data with secure, virtualised spaces that enable controlled ownership and data product sharing across domains.
Zero-copy data sharing across platforms
Connect SAP and third-party data and metadata across environments with bidirectional, zero-copy data sharing through an open data ecosystem.
See how customers are succeeding with SAP
Hershey: Gaining deeper insights into how to keep the future prosperous and sweet with SAP solutions
See how The Hershey Company is modernising its approach to data to gain insights that will keep the future tasting sweet.
Alcon: Extracting and analysing data from billions of records in the blink of an eye
Read how SAP Datasphere and SAP Analytics Cloud help eye-care company Alcon visualise and analyse vast amounts of data from multiple sources in real time. Learn how its improved decision-making allows the company to meet customer needs and patient demands effectively and swiftly.
CAF: Connecting data and platforms with SAP Business Data Cloud to drive innovation and smarter mobility
Find out how Construcciones y Auxiliar de Ferrocarriles, S.A. (CAF) connects data to fuel digital innovation. CAF is a global leader in transportation systems and mobility. With the SAP Business Data Cloud solution, CAF is connecting third-party solutions, improving data insight, and revolutionising efficiency.
How ZEISS uses SAP solutions to improve decision-making and data accessibility
See how ZEISS, an internationally leading technology enterprise in optics and optoelectronics, is enhancing its analytical capabilities with real-time data extraction using SAP HANA Cloud and SAP Datasphere, with ambitions to improve data integration by using SAP Business Data Cloud.
Take an interactive product tour
Explore how you can use SAP Datasphere to model data, build data products, and apply business semantics to deliver context-rich data for analytics and AI.