Overview
Product Information on Analytics Cloud in SAP Business Data Cloud
What is Analytics Cloud in SAP Business Data Cloud?
Analytics Cloud in SAP Business Data Cloud Pricing
Analytics Cloud in SAP Business Data Cloud Product Images






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.
The seamless integration with our existing SAP data sources is a huge advantage, as it gives us trusted, live data without complex connections. We also really value how it combines analytics and planning in a single platform, which has significantly streamlined our budgeting and forecasting cycles.
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.
We would love to see even better performance and saclability which dealing with our very largest datasets