SAP Datasphere

What is SAP Datasphere?

Cloud-based data platform for building a business data fabric that enables simple, standardized access to SAP data and integration with non-SAP data for both technical and business users.

Customer Satisfaction
6.2
Rated 6.2 out of 10
User Experience
5.8
Rated 5.8 out of 10
Technical Foundation
6.4
Rated 6.4 out of 10
Business Value
5.8
Rated 5.8 out of 10

About SAP Datasphere

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SAP Datasphere BARC Review & Rating

Provider and product description

SAP was founded in 1972 as a business applications company but really came into prominence in the 1990s with the ERP boom. Its ERP solution (R/3) was first released in 1992. The vendor employs more than 110,000 people worldwide and had revenues of $36.80 billion in 2025. Today, SAP is one of the largest business software vendors in the world.

For many years, SAP Business Warehouse (BW) was its strategic offering and foundation for building business intelligence applications. BW is a package consisting of connectors, relational data storage, subject-oriented multidimensional structured data marts and predefined content, as well as tools for reporting, analysis, and planning, providing a plug-and-play BI solution. However, BW is considered technically complex and has weaknesses in supporting self-service analytics for business users.

SAP Data Warehouse Cloud was launched in November 2019 as SAP’s new offering for data warehousing in the public cloud to specifically address these points. With its rebranding to SAP Datasphere in March 2023, SAP announced a new generation with improvements in the areas of data sharing and collaboration as well as in the openness of the data ecosystem for the implementation of a business data fabric. The aim of Datasphere is to provide a unified experience for data integration, data cataloging, semantic modeling, and data virtualization—as well as data warehousing—which makes SAP Datasphere the strategic successor of SAP BW and SAP BW/4HANA.

While providing a flexible, cloud-based option for the enterprise data warehouse, the solution is also designed to empower line-of-business users to perform self-service analytics by means of a business semantic layer. It follows a federate-first approach to reduce or completely avoid upfront data movement, which increases agility and reduces the required data management footprint. Datasphere includes support for defining and sharing data products, enabling organizations to package and distribute curated data assets. The architecture leverages HANA Data Lake Files (HDLF) object storage for managing large volumes of data files in formats such as CSV, Parquet, and Delta tables, and SQL on Files Engine for querying data in the object store. The solution can be deployed as a standalone solution or to complement existing SAP or non-SAP data warehouses. It supports a wide range of connectivity to SAP and non-SAP data sources. The solution offers a governed sandbox concept for combining enterprise data sources with individual and external data in a domain or use-case-specific area called Spaces. If required, sandbox results can be transferred as seamlessly as possible into the enterprise environment.

In February 2025, SAP launched SAP Business Data Cloud (BDC), a fully managed SaaS platform. BDC comprises several integrated components: SAP Datasphere for data modeling, integration and management; SAP Analytics Cloud for analytics and planning; SAP BW/4HANA private cloud to support existing data warehousing customers; SAP Databricks (managed by SAP) for data science, data engineering, and machine learning/AI capabilities; a data catalog for federated metadata management; intelligent applications; and Joule/Business AI. Data products serve as a cross-component capability, allowing users to create custom data products within Datasphere, BW, or Databricks and share them via zero-copy delta share. SAP BW/4HANA will be supported until at least 2040. The general recommendation for SAP BW customers is to move to SAP Datasphere within the BDC environment.

Strengths and challenges of SAP Datasphere

BARC’s viewpoint on the product’s strengths and challenges.

Strengths
  • SAP Datasphere buyers cite the product's fit to existing and future technology landscapes (83% vs. 44% average) and connectivity to source and target systems (83% vs. 57% average) as the top reasons for purchase, with both cited nearly twice as frequently as peer group averages—particularly appealing for organizations with existing SAP ecosystems.
  • SAP Datasphere achieved its strongest relative performance in Ecosystem Integration, ranking in the upper-midfield (rank 3-5) across all four peer groups, demonstrating improving capabilities in integrating with the broader enterprise application landscape compared to its weaker performance in other KPIs.
  • Buyers are investing based on product roadmap and future vision rather than current capabilities. 62% cited this as a purchase reason versus 25% average, reflecting customer confidence in SAP's strategic direction despite current-state limitations.
Challenges
  • Connectors are the most frequently reported problem, cited by 46% of customers versus 16% average. Customers particularly struggle with non-SAP connectivity, creating a paradox where connectivity is both the top reason to buy and the biggest operational pain point.
  • User Experience ranked last (8th out of 8) across all four peer groups, encompassing challenges in Ease of Use, Functional Coverage, Adaptability, and Key User Support. This represents a significant deterioration from the 2024 survey, when Ease of Use was a competitive strength. Customers now report difficulties with business user adoption, simplicity, and intuitive interfaces.
  • Only 7% of customers report "no significant problems" versus 26% average, with key issues including platform stability (18% vs. 9%), missing functionality (25% vs. 14%), and pricing concerns (36% vs. 19%). These gaps reflect the product's relative immaturity and challenge SAP's ability to meet current-state customer expectations.
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SAP Datasphere User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with SAP Datasphere.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Why users buy SAP Datasphere and what problems they have using it

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Individual user reviews for SAP Datasphere

Role
Project manager for BI/analytics from IT
Number of employees
More than 2.500
Industry
Manufacturing
Source
BARC Panel, Data Fabric 26, 02/2025
What do you like best?

Flexibilität und Offenheit des Systems. Intuitive Benutzeroberfläche. Integrierter/ganzheitlicher Datenmanagementansatz

What do you like least/what could be improved?

Funktionsumfang; noch nicht alle SAP‑BW‑Features abgedeckt.

What key advice would you give to other companies looking to introduce/use the product?

How would you sum up your experience?

Nach anfänglichen Schwierigkeiten läuft es inzwischen rund. Wir warten auf einige vielversprechende neue Features.

Role
Consultant
Number of employees
More than 2.500
Industry
Manufacturing
Source
BARC Panel, Data Fabric 26, 02/2025
What do you like best?

Die Möglichkeiten der Umsetzung von Data‑Mesh‑Konzepten und die Möglichkeit der Nutzung von Datenprodukten.

What do you like least/what could be improved?

Die Integration von Datenquellen kann verbessert werden.

What key advice would you give to other companies looking to introduce/use the product?

Lassen Sie sich auf die Philosophie der Lösung ein.

How would you sum up your experience?

Unsere Erfahrungen sind sehr gut, sowohl in Richtung Fachbereich als auch in Richtung IT.

Role
Project manager for BI/analytics from business department
Number of employees
100 - 2.500
Industry
Process industry
Source
BARC Panel, Data Fabric 26, 04/2025
What do you like best?

Hohe Nutzerfreundlichkeit durch No‑/Low‑Code‑Anwendungen. Gute Konnektivität. Gute Performance. Gute Schulungsangebote durch Hersteller und Community‑Forum.

What do you like least/what could be improved?

Wenig Standardcontent. Geringe Unterstützung bei SAP. Sehr starke Unterschiede bei der Beraterqualität. Ständige Roadmap‑Änderungen erschweren die Planung. Für volle Funktionalität müssen diverse kostenpflichtige Zusatzservices gebucht werden.

What key advice would you give to other companies looking to introduce/use the product?

Genügend Zeit und Budget für die Einführung vorsehen und nicht nur auf Berater verlassen, sondern selbst Wissen aufbauen.

How would you sum up your experience?

Könnte ein sehr gutes Produkt werden, wenn die Roadmap eingehalten wird und das Bezahlmodell transparent wird.

Role
Project manager for BI/analytics from IT
Number of employees
100 - 2.500
Industry
Retail
Source
BARC Marketing, Data Fabric 26, 05/2025
What do you like best?

Integration, Fabric-Ansatz, Roadmap, Open-Ecosystem-Ansatz.

What do you like least/what could be improved?

Offenheit für den Drittanbieterzugriff auf Modelle (außer SAC). Offenheit des Object Stores ohne Einschränkungen – aktuell ist dies nur mit Databricks möglich.

What key advice would you give to other companies looking to introduce/use the product?

Iteratives Vorgehen und das Gewicht der aktuellen DWH-Lösung mit einbeziehen, da das Tool noch sehr jung ist und gegebenenfalls nicht alle produktiven Prozesse abfangen kann.

How would you sum up your experience?

Aktuell noch eine gute Ergänzung zum BW und kann bereits viele Outbound-Arbeiten übernehmen. Beispielsweise können hybride Modelle (HANA & BW) auf Basis von HANA Calculation Views und CompositeProvider guten Gewissens von der DSP übernommen werden. Einige Funktionalitäten bieten Möglichkeiten, die im Vergleich zum BW bisher nicht möglich waren (Space-Konzept, Lineage, Repl. Flows). Der Fabric-Ansatz, die intuitive Bedienung und die Leichtgewichtigkeit bringen entscheidende Vorteile mit sich. Der Datentransfer in Non-SAP-Ziele (Outbound Premium) ist preislich inakzeptabel, und die Nutzung der analytischen Modelle inklusive Assoziationen von Third-Party-Front-Ends ist meist noch schwierig bis unmöglich.

Role
Consultant
Number of employees
More than 2.500
Industry
Consulting
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

It can act as a unified semantic fabric making self-service development much more user intuitive.

What do you like least/what could be improved?

Vendor promises a lot but hasn't yet delivered on many promises.

What key advice would you give to other companies looking to introduce/use the product?

Use judiciously for specific self.service use cases for now. It's a long way away from becoming your enterprise data warehouse on the cloud as of now.

How would you sum up your experience?

It's a good platform, but still needs to travel some distance before it can claim to be an enterprise grade DW solution.

Role
Project manager for BI/analytics from IT
Number of employees
More than 2.500
Industry
Retail
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

Integration in bestehende SAP-Landschaft. Self-Service Modelling / Data-Preparation.

What do you like least/what could be improved?

Fehlendes zentrales Monitoring Tool inkl. Warnung von Schwellwerten. Unzuverlässige Berechtigung-Synchronisation mit SAP BW. Wechselnde Empfehlungen der SAP zur idealen Konfiguration / Modellierung.

What key advice would you give to other companies looking to introduce/use the product?

Datasphere ist gut geeignet als ergänzendes Self-Service Modelling Tool in einer bestehenden SAP Landschaft.

How would you sum up your experience?

Datasphere ist noch nicht reif als vollwertiges Enterprise Data Warehouse und als SAP BW Nachfolger.

Role
Consultant
Number of employees
More than 2.500
Industry
Professional services
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

Creation of flows with tables in a single operation.

What do you like least/what could be improved?

Improve functionality gaps, avoid system outages when patches/new features are installed.

What key advice would you give to other companies looking to introduce/use the product?

Shifting from SAP BW to SAP DataSphere is quite a huge change in thinking.

How would you sum up your experience?

Going in the right direction.

Role
Project manager for BI/analytics from IT
Number of employees
More than 2.500
Industry
Process industry
Source
BARC Panel, The Data Management Survey 25, 03/2024
What do you like best?

Neuer Ansatz von SAP auch non-SAP Datenquellen zu verbinden und in einem Business User (LOB) geeigneten UI zur Verfügung zu stellen.

What do you like least/what could be improved?

Keine Unterstützung von quasi-Standard Interfaces (i.e. RestAPI), auch nicht auf der Roadmap geplant.

What key advice would you give to other companies looking to introduce/use the product?

Genauen Überblick über die Architektur und relevanten Interfaces erstellen, um die Abdeckung durch Datasphere evaluieren zu können.

How would you sum up your experience?

Gemischt.

Role
Project manager for BI/analytics from IT
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 04/2024
What do you like best?

Die geringe Einstiegshürde für nicht-SAP Experten (wie Fachanwender).

What do you like least/what could be improved?

Die Performance der Datenabfragen muss weiter verbessert werden.

What key advice would you give to other companies looking to introduce/use the product?

Startet am Besten von der 'grünen Wiese', Modellübernahme aus Altsystemen ist definitiv keine gute Idee, integriert die Fachanwender in den Implementierungsprozess.

How would you sum up your experience?

Wir nutzen Datasphere bereits seit der Zeit, als es noch Data Warehouse Cloud (DWC) hieß. Die Schwächen der Anfangszeit wurden von SAP überwunden und SAP machte auch erhebliche Fortschritte mit der Performance. Vor diesem Hintergrund ist das Fazit: Datasphere ist ein sehr starkes Tool mit einer interessanten Entwicklung!

Role
Project manager for BI/analytics from IT
Number of employees
More than 2.500
Industry
Process industry
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Konnektivität, RealTime, Cloud.

What do you like least/what could be improved?

Fehlende Funktionalitäten (noch).

What key advice would you give to other companies looking to introduce/use the product?

Langsam beginnen.

How would you sum up your experience?

Gut.

Role
Chief data officer
Number of employees
More than 2.500
Industry
Retail
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Selfservice für Endanwender. Konektivität zu Google BigQuery.

What do you like least/what could be improved?

Berechtigungskonzept nicht gut. Keine Weiterreichung des Users an BigQuery, sondern eher den Systemuser. Keine Konsole. Wenig offene APIs außerhab des SAP Öko-Systems. Fehlender funktionaler Umfang von SAP Data Intelligence im größeren Style.

What key advice would you give to other companies looking to introduce/use the product?

Auf das Sizing achten und klein zu starten.

How would you sum up your experience?

Sehr gut, richtiges Produkt, auch wenn es etwas spät kommt im Vergleich zum Wettbewerb.

Role
Data scientist
Number of employees
100 - 2.500
Industry
Manufacturing
Source
BARC Marketing, The Data Management Survey 25, 04/2024
What do you like best?

Optik.

What do you like least/what could be improved?

Performance, Bedienbarkeit.

What key advice would you give to other companies looking to introduce/use the product?

Datengrundlagen müssen gut vorbereitet sein.

How would you sum up your experience?

Expertenbetreuung ist wichtig. Der Endanwender kann nicht einfach so starten im Self-Service.

Survey Information
Number of reviews for SAP Datasphere
29
Reviewed versions
Peer groups in the survey
Cloud Data Warehouses, Data Platforms, Data Warehouses, Data Platforms (Big Players)
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