Customer Satisfaction
3.8/10
3.8
User Experience
2.9/10
2.9
Technical Foundation
3.4/10
3.4
Business Value
4.8/10
4.8

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.

Data Management & Storage
● Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

= covered

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 100,000 people worldwide and had revenues of $30.87 billion in 2022. 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 terms of connectivity and its support of 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 addresses these points. With its rebranding to SAP Datasphere in March 2023, SAP announced a new generation with improvements especially in the areas of data sharing and collaboration as well as in the sense of an open data ecosystem for the implementation of a business data fabric. The aim of the product 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. This increases agility and reduces the required data management footprint. It can be deployed as a standalone solution or to complement existing SAP or non-SAP data warehouses on-premises or in the cloud. It supports a wide range of connectivity to SAP and non-SAP data sources. SAP Datasphere data objects are exposed as tables and views. This makes it possible for external data pipelines and analytics tools to utilize them as target or source respectively. 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.

SAP Datasphere is one of the four fundamental pillars of SAP’s data and analytics strategy. Together with SAP Master Data Governance, it forms the backbone of data management. Further pillars are SAP HANA Cloud as the underlying database and SAP Analytics Cloud for analytics and planning. SAP BW/4HANA will be supported until at least 2040. The general recommendation for SAP BW customers is to move to SAP Datasphere. SAP BW Bridge is an SAP Datasphere feature that provides a transition path to the public cloud and enables existing SAP BW customers to move existing data models to the strategic target solution SAP Datasphere.

Strengths and challenges of SAP Datasphere

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

Strengths
  • SAP Datasphere scored high marks in the Ease of Use KPI compared to other cloud data platforms.
  • Buyers cited SAP Datasphere’s fit to existing or future technology landscapes as the top reason for purchasing the product. SAP buyers listed this reason nearly twice as frequently as the average of its peers.
  • SAP buyers are 25 percentage points more likely than average to choose the platform for its con-nectivity to source and target data.
Challenges
  • Key functionality gaps in Datasphere are the main problem customers encounter with the platform. SAP customers list this issue four times as often as the peer group average.
  • SAP Datasphere ranked last in the Cloud Data Platforms peer group for the Technical Foundation KPI, which takes into account metrics including Performance, Platform Reliability, Connectivity and Scalability. It also received slightly below-average rankings for Ecosystem Integration and AI Support.
  • Compared to its cloud data platform peers, SAP Datasphere ranked last for Functional Coverage, Development & Content Creation, and second last for Adaptability and Deployment & Operations.
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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
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
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
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
20
Reviewed versions
81 % version 2024, 19 % version 2023
Peer groups in the survey
Cloud Data Platforms, Data Product Engineering, Data Product Engineering (Big Players), ETL Tools, Data Intelligence Platforms & Marketplaces, Data Intelligence Platforms (Large Scenarios), Data Intelligence Platforms (Big Players)
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