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What is SAP Datasphere?

SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables every data professional to deliver seamless and scalable access to mission-critical business data. 

Deliver meaningful data to every data professional

Access authoritative data: Accelerate your time-to-value by automatically reusing the semantical definitions and associations from SAP applications.

Enrich all data projects: Harmonize heterogeneous data into a business semantic model of your diverse data landscape. 

Simplify the data landscape: Access all your data across hybrid and cloud environments no matter where it resides.


Introducing SAP Datasphere

Learn about our new data innovations to unleash the power of your business data.

SAP Datasphere enables a powerful
open data ecosystem

Future proof your data governance initiatives across your entire data estate

Set your data in motion with real-time event and streaming data

Integrate SAP data - with its complete business context - across your Data Lakehouse platform

Empower organizations to leverage augmented intelligence with AutoML

Simplify your data landscape with a business data fabric

SAP Datasphere - and its open data ecosystem - is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer — with business context and logic intact. 

See how customers are already succeeding with SAP Datasphere

The business data fabric architecture enables us to bring SAP and non-SAP data together in the seamless and self-service way we've been envisioning. SAP Datasphere provided us with a solution to build a harmonized layer, or business data fabric, across SAP and non-SAP, cloud or on-premise data sources, making the best use of our existing investments in SAP, Microsoft Azure, Salesforce, and Oracle.

David Johnston, Chief Information Officer, Messer

Driving spend analytics across 300 business entities

Delivering data to 3,000 users in 600 dealerships

Optimizing the supply chain by breaking down departmental silos

Improving performance and load times with a consistent experience

What analysts are saying

SAP recognized as a Leader in cloud DBMS

See the Gartner evaluation of cloud DBMS vendors, and learn why Gartner named SAP a Leader in its 2022 Magic Quadrant for Cloud Database Management Systems.*

SAP is named a Leader in enterprise data fabric

Find out why SAP was recognized as a Leader in the latest Forrester Wave for Enterprise Data Fabric for 2022.

Frequently Asked Questions

SAP Datasphere, a comprehensive data service that delivers seamless and scalable access to mission-critical business data, is the next generation of SAP Data Warehouse Cloud. We’ve kept all the powerful capabilities of SAP Data Warehouse Cloud and added newly available data integration, data cataloging, and semantic modeling features, which we will continue to build on in the future.

As of March 8, 2023, existing SAP Data Warehouse Cloud tenants will transition to SAP Datasphere. This update will be automatic, and existing SAP Data Warehouse Cloud customers will continue as is with either subscription or CPEA offerings without interruption. All the capabilities of SAP Data Warehouse Cloud will remain part of SAP Datasphere.

A business data fabric is a data management architecture that focuses on delivering an integrated, semantically-rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication. A business data fabric equips any organization to deliver meaningful data to every data consumer—with business context and logic intact. SAP Datasphere, and its open data ecosystem, is the technology foundation that enables a business data fabric.

SAP provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables data professionals to easily distribute mission-critical business data, with business context and logic preserved, across the data landscape. Learn more.

Questions? Get in touch!

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