/Logo%202023%20final%20dunkelgrau.png?width=221&height=97&name=Logo%202023%20final%20dunkelgrau.png)
Download Whitepaper:
Databricks vs Fabric vs SAP BDC vs Dremio
Trying to pick the right cloud analytics platform for your data architecture?
We have compiled a cross-comparison between 4 major players into a high-level comparison matrix for you.
This guide compares them across 18 strategic and technical dimensions.
We have compiled a cross-comparison between 4 major players into a high-level comparison matrix for you.
This guide compares them across 18 strategic and technical dimensions.
SAP Datasphere is the core data platform tool within BDC. It features data integration of SAP and non-SAP Data, data modeling from low-code (Graphical) to pro-code (SQL) users and a best-of-suite approach with unified semantics across your SAP-based Landscape from S/4HANA to SAP Analytics Cloud. Datasphere provides, on the one hand, the Datawarehousing features known from SAP Business Warehouse like Currency and Unit Conversions, Hierarchies and Time-Dependent Attributes, but on the other hand also modern data platform features like an optional Lakehouse Architecture, Command Line Interface for automation use-cases and a more vendor-independent approach to inbound and outbound data exchange. 
SAP Databricks is a trimmed down version of a standalone (Enterprise) Databricks solution, focusing on complementing the platform by providing two crucial features where SAP Datasphere is lacking: A pro-code data engineering toolset utilizing an unrestricted python runtime and best in class Machine Learning capabilities. It offers many, but not all, of the features that Enterprise Databricks offers such as Mosaic AI and ML workspace, Unity Catalog of the lakehouse governance layer and the SQL Warehouse query engine. For more details, check out our breakdown of 
Foundation Services which provide ready-to-use Data Products designed and continuously developed by SAPs LoB development teams (also known as Intelligent Applications). These provide out-of-the-box, SAP-managed data integration, data models and dashboards. Notable examples of these data products include “People Intelligence" based on Successfactors and "Finance Foundation” based on S/4HANA. Utilizing these can provide organizations standard SAP-based reporting with almost no implementation effort, although please note that these components are subject to a separate license fee. 
SAP Analytics Cloud (SAC) is the primary front-end tool in BDC. It is mainly used for visualizing your reports as Dashboards (“Storys”) which utilize the semantics maintained in SAP Datasphere to automatically determine relationships between datasets and the meaning of attributes and measures. SAC is also used for enabling Planning functionalities like Budgeting, Forecasting and What-If Analysis. With BDC, SAC Planning moves beyond its historical role as an isolated toolset, into an integrated architecture called “
SAP BW Private Cloud Edition (PCE) is a customer managed BW on HANA 7.5 or BW/4HANA system hosted on SAP managed hardware (Private Cloud). This is the most common modernization option to ease the migration from a legacy SAP BW landscape into a modern SAP Datasphere and Business Data Cloud based landscape. Utilizing this offering enables the so-called “Data Product Generator” feature, allowing BW Data Models to be easily replicated into the common object store of BDC and hence reused within Datasphere and beyond. Another advantage is the option to extend the maintenance of your BW on HANA 7.5 system until 2033, reducing time pressure for your migration.
