Review Summary
See a synthesized overview of the key takeaways from verified reviews of Analytics Cloud in SAP Business Data Cloud.
See a synthesized overview of the key takeaways from verified reviews of Analytics Cloud in SAP Business Data Cloud.



SAP was founded in 1972 and is headquartered in Walldorf, Germany. The company employs over 105,000 people globally and develops software solutions for enterprise resource planning (ERP) and related business functions. SAP’s early products, SAP R/2 and SAP R/3, were widely adopted for managing core business processes. Its current ERP platform, SAP S/4HANA, uses in-memory computing to support data-intensive operations and integrates capabilities such as artificial intelligence and machine learning. SAP offers a portfolio of software applications that support various business functions across industries. These applications are designed to operate on a unified digital platform. As of 2025, SAP reports over 230 million cloud users and provides more than 100 solutions. The company’s offerings are used by organizations to manage finance, human resources, procurement, supply chain, and other operational areas.
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Strong improvements in live data processing and performance optimization in recent releases. The strategic direction towards Datasphere integration and unified semantic modeling. Good alignment with SAP's broader ecosystem and security model.
Connection to SAP data sources is very strong and generally easy to set up. Data modelling capabilities are robust enough to handle many common use cases. Report design can easily be enhanced with isolated scripting, a feature not offered in most other visualisation tools.
1. Seamless integration with other SAP products and data sources. 2. Strong data visualization and dashboarding capabilities. 3. Real-time analytics and planning features in a single Platform. 4. Cloud-based access enabling flexibility and scalability.
Inconsistent feature delivery & decommissioning. Lack of Patch visibility and communication. Migration Gap: BW Live to Datasphere (especially the lack of a built-in method to replace BW live data models with Datasphere models. Missing capabilities (Initial view concept, control over processing groups, multiple startup events: on variable initialization/On Startup/On background processing/On before prompt submit, etc.)
Complex modelling and analytical cases are not easy to achieve; joining of multiple data sets, especially non-SAP data will generally require jumping into another tool. Role and access management and data access controls are shockingly poor, requiring a high degree of manual effort and often unclear / unexplained options. File and access management feels like old-school Windows file access, breaks easily, and has no overview of who has access to what / which users have access to a given object or folder. Administration is very challenging, with changing paradigms offering incomplete experiences that lack in practical use cases or end-to-end usability. Product feels like it is still in early stages of active development.
1. Performance can slow down when handling large or complex datasets. 2. User Interface can feel less intuitive for new users. 3. Limited customization compared to some competing tools. 4. Higher cost compared to alternative analytics platforms.