Trade-off desk
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Side-by-side framing for decisions that show up in reviews. Toggle the rows you care about. No fake scores, no invented benchmarks, just trade-offs and links into the notes.
Fabric lakehouse vs Databricks
Choose the control plane you will operate, not the slide that lists more logos.
Fabric wins when Power BI Direct Lake, OneLake shortcuts, and Microsoft estate governance are the center of gravity. Databricks wins when Spark job control, Unity Catalog depth, and multi-cloud notebook ops dominate the roadmap.
| Dimension | Microsoft Fabric lakehouse | Databricks lakehouse |
|---|---|---|
| Primary consumer | Power BI semantic models and Microsoft 365 adjacent teams | Notebook-first engineering and SQL warehouses across clouds |
| Storage contract | OneLake as the shared lake with shortcuts and workspace packaging | Object storage + Unity Catalog as the durable contract |
| Orchestration posture | Pipelines and notebooks inside Fabric; keep Airflow thin when used | Jobs, Workflows, and external orchestrators with explicit job IDs |
| Governance center | Purview + workspace RBAC + sensitivity labels in the Microsoft estate | Unity Catalog grants, lineage, and cluster policies |
| BI path | Direct Lake and semantic models as first-class products | Partner BI or Databricks SQL; Genie needs modeling readiness first |