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.
I like the ease of use, the analytics part (how much are dashboards actually used?), and the way it allows for sending out reports via e-mail.
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.)
The star shaped data model as opposed to the spider's web data model of other products, the difficulty of finding solutions to practical issues, and the new layout of the builder and styling panels without colors that stand out.
We would love to see even better performance and saclability which dealing with our very largest datasets