Reviews on SAP Data warehouse cloud
March 28, 2022

Reviews on SAP Data warehouse cloud

Bill Short | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAP Data Warehouse Cloud

It has no coding to visualize data with SAP Data Warehouse Cloud. It analyses all sorts of data from structured, geospatial to unstructured. It reuses BW models. It has a very simple implementation strategy. It is easy to use due to its self-service capabilities. It collects all data from all ETL services. It has no manual process needed to connect data with business context.
  • Access data to both cloud and on premise data sources
  • Do not require to rebuild data models since they can be resused
  • No manual process is needed to connect data with business context
  • It is unavailable on premise platform for mobile phones and freemium version
  • Access data to both cloud and on premise data sources
  • Do not require to rebuild data models since they can be reused
  • No manual process is needed to connect data with business context
  • No manual process is needed to connect data
  • Do not require to rebuild data models
  • Access data to both cloud and on premise data sources
It is user-friendly and has self-service tools. It has built-in capabilities such as a data lake. It backed integration capabilities. It gives data on a new level of consumption. It is easy and very quick to develop. It has a high-performance and scalable data warehouse.

Do you think SAP Datasphere delivers good value for the price?

Yes

Are you happy with SAP Datasphere's feature set?

Yes

Did SAP Datasphere live up to sales and marketing promises?

Yes

Did implementation of SAP Datasphere go as expected?

Yes

Would you buy SAP Datasphere again?

Yes

It is easy to use due to its self-service capabilities. It collects data from all ETL services.No coding is needed to visualize data with SAP Data Warehouse Cloud. It does not require rebuilding data models since they can be reused It access data to both clouds and on-premise data sources.