TrustRadius Insights for SAP Datasphere are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Comprehensive Integration Capabilities: Reviewers highlight the system's robust integration features that enable seamless real-time data stream connectivity and sophisticated data modeling, ensuring efficient operations.
Security Features: The platform's advanced security measures, such as native connectivity, data federation, and adaptable modeling options, instill confidence among users regarding their data protection.
Dimensional Modeling and Graphical View Functionalities: The dimensional modeling tools coupled with graphical views are instrumental in centralizing data effectively and facilitating clear model visualization for users.
Simplified Processes: Users commend the platform for streamlining complex processes, leading to cost savings through enhanced efficiency and a more intuitive user experience.
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.
Likelihood to Recommend
A company wants to leave large datasets in BW/4HANA, HANA, or S/4HANA, but still expose them through one analytical model.
Why Datasphere works:
Supports federation and “virtual tables” with pushdown.
No need to ETL large datasets.
Good for hybrid BW scenarios (BW Bridge).
Typical outcome:
Centralized analytics without building another large warehouse.SAP-optimized connectors with semantic understanding (tables, CDS views). Automatic handling of SAP hierarchies, currencies, and master data. Business semantic layer lets business users explore data without SQL. Works with SAP Analytics Cloud seamlessly.
Datasphere is used as a data modelling tool for my organization. DSP is currently used to replace the existing BW solution we have in our landscape. DSP is powerful and contains most of the BW functions. Integration with SAP tools is seamless in Datasphere. I will recommend this for data modelling.
Pros
Modelling
Integration
Self service
Cons
Hierarchy is not flexible.
Authorization is not robust.
UX for users not present.
Likelihood to Recommend
A well-suited scenario is where the source is SAP S/4 HANA systems and integration with 3rd party systems is good as well, but there is no integration with ECC systems. Even though they are not the future source system, a basic connection option should be there. We are retaining our BW system because of these limitations.
VU
Verified User
Employee in Information Technology (10,001+ employees)
SAP Datasphere (BDC) is used to enable Real-time self-service reporting (via SAC), this is particularly useful for Finance and Commercial teams. SAP Datasphere is also used to federate SAP data to Ceolins, Databricks and third party applications.
Pros
Federate SAP Application Data
Provides Real-time Replication of S/4 data
Easy to model & make changes
Persistence options allowing for fast dashboard response times
In my organization, I provide consulting to customers to modernize their analytics landscape and move to SAP Datasphere. SAP Datasphere addresses key business problems related to data fragmentation, management complexity, and the inability to quickly derive valuable insights from diverse data sources. SAP Datasphere includes built-in governance, cataloging, and security features to ensure data accuracy, consistency, and adherence to regulations.
Pros
Data fabric
Data egress
Data modeling
Cons
AI capabilities
Likelihood to Recommend
I am likely to recommend SAP Datasphere to a colleague because of SAP Datasphere's Strong roadmap with SAP BDC and integration with other platforms
VU
Verified User
Director in Professional Services (10,001+ employees)
We use SAP Datasphere to integrate and harmonize Spend data from multiple ECC and S/4 systems and enrich it further to drive our Spend analytics in SAP Analytics Cloud. This has helped in presenting a holistic global view of Spend information to drive better decision making and negotiations with suppliers within the organization. Going forward we plan to migrating more of our on-prem BW/4 content over to Datasphere to leverage the AI capabilities within BDC using SAP Databricks.
Pros
Ease of data modeling in a graphical interface for both IT and Business users
Provides a collaborative environment to implement analytics use cases between IT and Business
Facilitates easy integration of other cloud sources of data with SAP data for more enriched and holistic analytics use cases
Cons
There needs to be more advanced features available for scheduling of data pulls into SAP Datasphere via Task Chains. These should facilitate integration scenarios with backend systems to be able to schedule them based on events or process completion triggers such as process chains in BW/4 as an example. Only time based scheduling is currently available in SAP Datasphere.
To facilitate easier transition and integration of BW/4 data models there should be an option to use ABAP as a means for defining logic in transformations in addition to Python esp. with SAP data based use cases.
It will be good to see some functionality of organizing business users into Teams similar to SAC for ease of administration and content management.
Likelihood to Recommend
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.
VU
Verified User
Team Lead in Information Technology (1001-5000 employees)
In our organization, We use SAP Datasphere (DS) to migrate data for reporting. SAP Datasphere allows us to combine data from multiple sources for self service reporting and analytics
Pros
integrate data from multiple sources
allow self service reporting and analytics
creates a data model usable across many applications
Cons
In my opinion, SAP Datasphere has room for improvement with usability
I think that SAP Datasphere has room for improvement because of complexity
Migrated Calculations view to SAP Datasphere Graphical viewa nd also used the data by SAP Datasphere remote tables to create Analytical Models which can be exposed to SAC for Graphs . Also used the SAP Datasphere Analytical Models with SAC Excel-addin for Microsoft excel to create reports.
Pros
Graphical Views
Remote Tables
Replication Flows
SQL Views
Cons
Graphical Views
SQL Views
Replication Flows
Likelihood to Recommend
To combine the data from different sources both SAP and Non SAP and make a meaning full data set to expose the data and create reports for management, Also report SAP BW in future
VU
Verified User
Employee in Information Technology (10,001+ employees)
