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…
N/A
Yellowbrick Data Warehouse
Score 10.0 out of 10
N/A
Yellowbrick Data is a distributed data warehousing cloud, a mesh of interconnected resources (private data centers, public clouds, and edge networks) that are managed in a unified way.
Yellowbrick Data helps enterprises provision and manage their data warehouses and delivers the data analytics necessary to make informed business decisions.
$10,000
per month
Pricing
SAP Datasphere
Yellowbrick Data Warehouse
Editions & Modules
No answers on this topic
STANDARD (For public clouds or data centers)
$10k
per month
ENTERPRISE (For enterprise use cases In public clouds or data centers )
Custom Pricing
ENTERPRISE + (For compliance In public clouds or data centers)
Custom Pricing
Offerings
Pricing Offerings
SAP Datasphere
Yellowbrick Data Warehouse
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
SAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
SAP BW is a long standing datawarehouse platform. We had powerful options to construct a data model in SAP BW. But, SAP will stop supporting latest version BW4Hana by end of 2040. To work in BW4Hana more experience is needed. But, SDS can be easily learnt and user-friendly as …
It is an SAP tool. SAP and non-SAP integration. Reusable data products. The future roadmap is a data sphere with AI enhancements. It provides a cloud-based architecture.
We used SAP BW for modeling and loaded the data into SAP Analytics Cloud for reporting. In this scenario, we had to store data physically in SAC for reporting. Live Model reporting caused a performance issue when displaying data in SAC. After Datasphere came into the picture, …
with the support for SAP BW 7.5 ends by 2027 and extended support by 2030, also the support for BW/4HANA ends by 2040. Every organization is looking towards modernizing their data warehousing solution. SAP Datasphere stands tall as a solution for this and well suited if …
SAP Datasphere is cloud based, also it is designed for Logical data modeling where no much ETL needs to be used, also it has faster onboarding of business use cases, it can integrate with S4HANA CDS views with real time data extraction. Datasphere complements BW4HANA rather …
Snowflake, Databricks, Azure Data Factory... why do we choose? Strong SAP landscape, single source of truth for sensitive data, cloud capabilities, etc.
SAC with SAP Datasphere works like a charm, and it uses the Live connectivity. Negative side:-Clients cannot use SAC for regulatory reports, or they have to download the entire Data for sending it to government agencies.
SAP BW was the old world tool from on on-prem world. It lacks the cloud tool integration. Very limited scalability option. Even with robust modelling options, AIML scenarios were not possible. It was a tool for the past. Now DSP has evolved and taken over the place of BW in all …
Microsoft Asure database is the source for Databricks dataproduct for one of our projects. SAP Datasphere uses this source to develop Graphical view combined with the other data products to get the reports from Analytical Models. Also data is combined from various source in SAP …
SAP Datasphere is an exciting way to modernize our data stack, and what clinched it for us was how deep we're already in with SAP - it only made sense to try and leverage the synergies between Datasphere and our other SAP products.
SAP Datasphere is well suited for scalable cloud based data integration scenarios which also opens up the doors for AI driven insights which are much harder to achieve with on-prem data warehouses. Considering the licensing model of SAP Datasphere being based on consumption driven capacity units cost can be a big consideration for organizations with large volumes of data that can be a pre-requisite for data mining and AI use cases. So this can be a bottleneck or not so well adopted scenario for SAP Datasphere.
SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
Datasphere can come with its own challenges which can feel like a mountain to get over. However, once one has an understanding of how the product works it becomes easier to use. Once the time is spent to get it setup and working correctly very little is needed to keep it running smoothly. Its a great tool it just takes time to learn.
SAP has suggested that BW 7.5 will be sunset soon. Usability is good in SAP BW Modernization. Instead of going with other non-SAP tools, staying with SAP will be suitable for existing users. Across the board, many of them are moving to DataSphere.
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.