Use Power BI for governed reporting and semantic models, Microsoft Fabric when a Microsoft-native end-to-end analytics platform fits the operating model, and Databricks when scalable engineering, lakehouse architecture or advanced data workloads justify it.
undefined
If the main need is trusted reporting, a strong semantic model and controlled business consumption, Power BI with a well-designed data layer may be enough.
undefined
Fabric is relevant when the organization wants a Microsoft-native platform across data engineering, warehousing, semantic models and reporting. It should be introduced with clear governance, not just because it is new.
undefined
Databricks fits when data engineering scale, lakehouse architecture, advanced analytics or complex pipelines are central to the platform.
undefined
Start with business criticality, data volume, refresh needs, skill availability, ownership and operating model. The best architecture is the one the organization can run reliably.
| Need | Likely fit | Watch out for |
|---|---|---|
| Executive reporting and KPI trust | Power BI + semantic layer | Weak model ownership |
| Microsoft-native end-to-end analytics | Microsoft Fabric | Platform maturity and governance |
| Scalable engineering and lakehouse workloads | Databricks | Operating complexity |
Related service
Unsure which platform layer should come next?
We can map the decision around your reporting estate, skills and operating model.
Explore Azure data platform consulting