SAP Datasphere

Networking data.
Use knowledge.

SAP Datasphere offers consistent access to all relevant data sources – centrally
centralized, structured and usable in real time.

Ontologie-Ansicht des SAP Datasphere Metadata Models mit verknüpften Datenobjekten und Verbindungen im Graph Builder

What is SAP Datasphere?

SAP Datasphere is the central data service within the SAP Business Data Cloud. The solution links data from SAP and third-party systems, preserves its context and structure and makes it available in real time for analysis, planning or AI applications.
This creates a consistent information basis on which systems and departments can work together efficiently and in a coordinated manner.
Functions such as semantic modelling, data virtualization, self-service rooms and native SAP integration create an end-to-end data architecture – flexible, scalable and future-proof.

Advantages of the
SAP Datasphere

Standardized data landscape

All relevant data (SAP, cloud, local) is harmonized in a semantic model – with context-rich interpretation and central maintenance.

Can be used quickly

Structured handling of metadata and predefined view models enable rapid implementation of initial projects – without slow, completely new setups.

Scalability and future viability

The cloud-native platform grows with data volumes, user numbers and functionalities – without the need for costly system changes.

Trustworthy data provision

SAP Datasphere draws on verified, authoritative data records – with governance, audit logs and role-based control.

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Job Description & Function

Frequently asked questions (FAQ)
about SAP Datasphere

Features of the SAP DataSperhe
at a glance

Verbindungsübersicht in SAP Datasphere mit Auswahl an Cloud- und On-Premise-Datenquellen wie SAP ABAP, Azure, Google BigQuery und mehr

Semantic modeling & reuse

Business logic from SAP systems is automatically recognized and made available as semantic models. These can be reused in different contexts – for consistent data interpretation and faster implementation.

Visualisierung eines Metadatenmodells in SAP Datasphere mit semantischem Graphen und eingebetteter KI-Analyse über Joule

Knowledge Graph

An integrated knowledge network visualizes relationships between data sources, business terms and processes. This increases transparency and accelerates understanding, even in complex system landscapes.

Data Federation & Virtualization

Data stays where it is – whether in SAP S/4HANA, Snowflake or Data Lakes. Thanks to virtual linking, analyses can be carried out without having to move data.

Self-service for specialist departments

With so-called “Spaces”, specialist departments work autonomously on data models, evaluations and data products – with clear boundaries, defined governance and central control by IT.

Integration of external sources & partner solutions

Open interfaces enable the seamless connection of external tools such as Collibra, Databricks, Google BigQuery or Open Connectors – for a comprehensive data fabric.

Data catalog & governance

Metadata management, access control, versioning and logging are centrally integrated. This creates a consistent, verifiable and resilient data foundation.

Trusted by customers

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The next step towards a consistent data strategy

SAP Datasphere connects, structures and opens up company data for modern applications.

Everything you need to know and more.