The original title is "Azure Databricks vs Microsoft Fabric: An Honest Guide to When to Use What"

Short summary

Azure Databricks excels at complex ML pipelines with native MLflow and fine-grained governance, while Microsoft Fabric prioritizes ease of use and Power BI integration via Direct Lake. Both run Delta Lake and can share data via OneLake for hybrid architectures. Choose Databricks for heavy ML workloads and multi-TB ETL; choose Fabric for analytics-focused teams seeking operational simplicity.

• •Databricks: superior MLflow/MLOps, Unity Catalog governance, Spark Structured Streaming, high-scale ETL
• •Fabric: easier to use, native Power BI Direct Lake integration, SaaS managed, lower operational burden
• •Both can coexist via OneLake Delta Lake sharing for specialized, hybrid data architectures

Generated with AI, which can make mistakes.