**Why comparison matters**: Ecosystem lock-in and integration differ. **Databricks**: Spark-centric; Delta Lake; ML Runtime; AWS/Azure/GCP. **Fabric**: Microsoft ecosystem; OneLake; Power BI integration; Azure-native. Both support notebooks, Spark, lakehouse. **Scalability trade-offs**: Databricks = multi-cloud; Fabric = Azure-first. **Cost implications**: Different billing models; Fabric bundled with Microsoft stack....
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