Strategic platform selection: SAP BDC or MS Fabric?

SAP BDC or MS Fabric: Which is the right platform for your data architecture?
The data landscape is changing rapidly. With the discontinuation of SAP BW, many companies are faced with the challenge of having to rethink their existing data architecture. At the same time, the demands for flexibility, scalability, and integration are increasing. The key question is therefore: How can thetransition to a modern cloud data architecture be successfully achieved?
The two leading options in this context are SAP Business Data Cloud (BDC) and Microsoft Fabric. But which platform is best suited to your business situation?
We are happy to support you with our expertise in identifying the right solution and strategically designing your path to the cloud. Based on your individual requirements, processes, and strategic goals, we help you make an informed decision between SAP Business Data Cloud and Microsoft Fabric.
Your initial situation
- SAP BW is being discontinued – companies must realign their existing data platforms.
- Growing demands on data integration and analytics require modern, scalable solutions.
- Uncertainty in technology selection: SAP Business Data Cloud or Microsoft Fabric?
- Strategic pressure to modernize through digital transformation and increasing competitive demands.
- Financial risk in the event of bad investments.
What you get
- A comparison report: "SAP Business Data Cloud vs. Microsoft Fabric"
- The current maturity score of your data architecture
- A well-founded and transparent decision-making template for management
- A concrete implementation roadmap for your company
- Maximum precision of the
platform for your requirements - Reduced investment risks
Content of the assessment
- Requirements analysis: Survey of your current data landscape (including SAP BW) and integration points. Evaluation of compliance, security, and governance requirements.
- Technology and architecture comparison: Comparison of core functions data integration & ETL, governance & security, scalability & performance, cost models, and ecosystem & compatibility (e.g., SAP ERP, Power BI, Azure Services)
- Maturity assessment: Analysis of your existing data architecture and identification of gaps. Derivation of how both platforms support your future target architecture.
- Proof of Concept (optional): Conducting a POC for selected use cases. Evaluating implementation costs and operating costs.
- Recommendation & roadmap: Clear recommendations for platform selection. Roadmap for implementation and migration.



