Power BI Developers/Learning: post #201 — TG.ME

Microsoft Fabric vs Databricks. I've used both in production. Here's my honest take — no vendor bias, no sponsored opinion. Where Fabric wins: If your company is already deep in the Microsoft ecosystem — Azure, Power BI, Teams, Office 365 — Fabric is a no-brainer. The integration is seamless. You don't need a separate governance layer. Your business users can already navigate it. I recently delivered a full lakehouse on Fabric in 4 weeks. The OneLake architecture, the native Power BI integration, the pipeline simplicity — it genuinely cuts time to value for mid-size enterprises. Where Databricks wins: Complex, large-scale data transformations. Multi-cloud environments. Teams with strong Python and Spark expertise. When you need Delta Lake at its most powerful, when you're running serious ML workloads, when your data volumes are massive — Databricks is still the stronger engine. It's also more mature. The Unity Catalog, the job orchestration, the notebook collaboration — it's a more complete platform right now for pure data engineering at scale. The honest answer nobody wants to hear: 𝐅𝐨𝐫 𝟖𝟎% 𝐨𝐟 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬, 𝐢𝐭 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐦𝐚𝐭𝐭𝐞𝐫 𝐰𝐡𝐢𝐜𝐡 𝐨𝐧𝐞 𝐲𝐨𝐮 𝐩𝐢𝐜𝐤. What matters is whether your data is clean, your pipelines are reliable, and your business users can actually trust the numbers. I've seen beautiful Databricks implementations that nobody used. I've seen simple Fabric setups that transformed how a company makes decisions. The tool is never the problem. Credits: Mayur muttur