TrustRadius: an HG Insights company

SAP Datasphere

Score8.5 out of 10

294 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

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

Swap SAP Datasphere good to use

Use Cases and Deployment Scope

We use for sharing data from swap to non SAP

Pros

  • Sharing the data
  • Extraction
  • Modeling

Cons

  • Modeling
  • Semantic
  • Variable and filter

Return on Investment

  • Easy to use
  • Graphical modeling
  • SQL modeling

Alternatives Considered

SAP Analytics Cloud

What You get with SAP Datasphere.

Use Cases and Deployment Scope

We use SAP Datasphere to run our mission-critical processes across the depth and breadth of our Analytics landscape. We have built a robust Data Fabric landscape by integrating multiple sources and creating interoperability for our reporting users. Not only for Operational reporting, but SAP Datasphere agile features help us to enable, encourage, and empower our citizen Analysts to build their own reports.

Pros

  • Self Service.
  • Lesser TCO( Total Cost of Ownership).
  • Native source Connectors.
  • Vertical and Horizontal integrations.

Cons

  • Transport
  • Business Content is not user-friendly especially without SAC.
  • Planning write-back features.

Return on Investment

  • Positive impact.
  • Resulted in 17% savings.
  • Project delivered 3 months ahead than on prem projects.

Usability

Alternatives Considered

SAP Analytics Cloud

Other Software Used

SAP BW/4HANA, SAP Analytics Cloud, SAP S/4HANA Cloud

Real time data replication tool from S4 HANA

Use Cases and Deployment Scope

data ware house and real time relications and reporting

Pros

  • Data ware house
  • real time replications
  • data modelling

Cons

  • seamless analytical model to power bi connectivity

Return on Investment

  • helps to replicate data quickly real time

Usability

Alternatives Considered

Azure Databricks, Snowflake and Azure Database

Other Software Used

SAP Analytics Cloud, SAP Business Technology Platform, IBP

My review

Use Cases and Deployment Scope

SAP Datasphere is used by the data engineering team for reporting.

Pros

  • As BTP product, its quick to implement
  • It can be quickly integrated with on-prem system
  • Easy to manage resource capacity based on the load

Cons

  • It can be still improved on better managing performance

Return on Investment

  • Due to fast implementation it was great on ROI
  • Due to fast migration from previous DI to DS, we had to perform quick migration, which caused impact to our ROI

Usability

Alternatives Considered

SAP Data Intelligence