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SAP Datasphere

Score8.6 out of 10

313 Reviews and Ratings

What is SAP Datasphere?

SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data landscape.

Categories & Use Cases

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Who Buys & Uses SAP Datasphere

Pros

  • Robust data modeling capabilities for semantic-rich models and analytical views
  • Broad integration with SAP and non-SAP systems for unified data fabric
  • Seamless connectivity with SAP Analytics Cloud for enhanced analysis

Cons

  • Limitations in Task Chain functionality, lacking advanced scheduling and triggers
  • Usability and complexity challenges, noted as difficult to learn
  • Need for broader and more robust integration with non-SAP systems

SAP Datasphere in modernization

Use Cases and Deployment Scope

As a part of SAP modernization we are using SAP Datasphere in place of SAP BW, main usage is to extract data from S/4 and build data products for Analytics

Pros

  • Modelling
  • Integration
  • Live consumption in SAC

Cons

  • User Interface, some features like renaming views are difficult
  • Easy options to integrate
  • Scheduling options, now to get the log is looking weird

Return on Investment

  • As cloud tool charge is in higher side
  • Feature loaded with flexibility
  • Still evolving tool so more scope

Usability

Alternatives Considered

SAP Business Data Cloud

Other Software Used

SAP Cloud ERP (SAP S/4HANA Cloud), SAP Analytics Cloud, SAP BW/4HANA

SAP Datasphere the next Gen Data warehouse concept

Use Cases and Deployment Scope

SAP Datasphere (DSP) is the next generation of SAP Data Warehouse Cloud (DWC), in our organization we have connected our S4HANA, BW4HANA for our sustainability use case, here we are extracting data from above sources to accelerate our analytics into cloud, and we are further feeding our data into SAC models and also to SCT (Sustainability Control Tower).

Pros

  • We can accelerate our analytics with power of storing in cloud
  • CDS view with real time replication
  • Integration with SAC - Analytic Models, OData Connections (Bi-directional)
  • Object reusability, also there is no need of storing physical data

Cons

  • It has very limited advance modeling compared to SAP BW
  • When the data volume is huge, OPD performance and stability is inconsistent
  • It heavy depends on Sap Analytics Cloud for querying, whereas BW has it own query designer

Return on Investment

  • Real time reporting helps in providing more flexibility to take decisions immediately
  • Reusability of objects with different helps in reducing the time and efforts
  • Data Access Control provide more security on data level, which ensures the data are visible correct personas

Usability

Alternatives Considered

SAP BW/4HANA

Other Software Used

SAP BW/4HANA, SAP Analytics Cloud, SAP Business Data Cloud

SAP Datasphere

Use Cases and Deployment Scope

In our organization, I use SAP Datasphere to test SAP BDC (Business Data Cloud) data products and give access to SAP ERP (Enterprise Resource Planning) data

Pros

  • integrates well with SAP systems

Cons

  • the pricing is prohibitive for many customers

Return on Investment

  • SAP Datasphere is becoming the only available / allowed option to extract SAP data

Usability

Alternatives Considered

Azure Databricks and Databricks Data Intelligence Platform

Shhs review.

Use Cases and Deployment Scope

We are planning a migration from BW to DataSphere. Business problem: complex transformation flows and long-running loads. We are on BW 7.5; it is very slow. Every time we need to load the data. Scope: extraction from SAP and Databricks. File load via SFTP. Each master data is created as a data product. Where reusability is increased.

Pros

  • Analytical model.
  • Data load.
  • Handling complex model.
  • Reusability of data product.

Cons

  • Write optimized DSO load option from BW to SDS.
  • BW bridge path is not there for migration from BW to Datasphere.
  • Hierarchy creation is not user friendly.
  • Changing the length is additional effort.
  • Load date and time not captured.

Return on Investment

  • It has both. Positive i could see future scope and AI impact.
  • When compared to BW few implementation little challenge in SDS.
  • Maintenance is easy since it is a one source for multiple system.
  • If there is a enhancement doing the impact analysis is easy.
  • Cost and storage should be considered.

Usability

Alternatives Considered

SAP BW/4HANA and SAP BPC (Business Planning and Consolidation)

Other Software Used

Microsoft Power BI, SAP Analytics Cloud, SAP BW/4HANA, SAP BPC (Business Planning and Consolidation)

Enterprise-Wide Reporting and Analysis Platform SAP BW Replacement

Use Cases and Deployment Scope

Strategic replacement for SAP BW, aimed at enabling enterprise-wide reporting and analytical capabilities. The platform supports core functionalities such as data modeling, orchestration of data loads, and centralized governance. Particularly useful when the main source is SAP S/4.
As the solution is still relatively new within SAP’s product portfolio, the central enterprise team is currently focused on building foundational expertise and operational stability. Once the team has gained sufficient familiarity and confidence with the platform, we plan to introduce dedicated line-of-business spaces.

Pros

  • Integration to SAP S/4 CDS views.
  • Modeling towards reporting in SAP Analytics Cloud.
  • Control of agile development via the lineage functionality.

Cons

  • Support for 3rd party front ends like Power BI is lacking, open SQL on HANA cloud is not an ideal workaround because of user maintenance/RLS.
  • Data Flow functionality and UI is neglected but still necessary as the new flow types do not support all source types.

Return on Investment

  • Pricepoint is reasonable and easier to get started with than traditional SAP offerings.
  • However, the change that makes BTP credits unusable in the Business Data Cloud has been detrimental to the trust in the SAP license model.

Usability

Alternatives Considered

Microsoft Fabric and SAP BW/4HANA

Other Software Used

Microsoft Fabric, Azure Data Factory, SAP Business Warehouse, SAP HANA Cloud