Microsoft Fabric vs Databricks
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A Practical Decision Framework
This comprehensive decision framework breaks down the core differences between Microsoft Fabric and Databricks — architecture, scalability, governance, and AI readiness — along with the MegaminxX POV and practical examples to support platform evaluation.
Developed by MegaminxX, this guide (PDF) explains how Fabric and Databricks solve different objectives while sharing the same lakehouse foundation. It outlines real-world scenarios, trade-offs, and decision criteria to help business leaders make an informed platform choice.
📘 Here's What's Inside:
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Why this decision is more important than ever
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Understanding Microsoft Fabric and Azure Databricks
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Side-by-side comparison: Microsoft Fabric vs. Databricks
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Practical Scenarios and a decision checklist
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A decision scorecard to validate platform fit
📘 Who This Framework Is For:
Retail, CPG, Healthcare, Financial Services, and Enterprise leaders evaluating data platform modernization — especially CIOs, CTOs, CDOs, Heads of Data/Analytics, and Enterprise Architects assessing unified platforms and engineering-led lakehouse architectures.
Yes, I want the
Fabric vs Databricks Guide (PDF)