Azure Databricks is a managed Apache Spark (and more) lakehouse platform on Azure, built with Microsoft + Databricks. You get collaborative notebooks, job clusters, SQL warehouses, and Delta Lake support, sitting on ADLS Gen2.
ADLS Gen2 (Delta / Parquet)
^
|
Azure Databricks (Spark + Delta + workflows)
|
+--> Synapse / Power BI / ML modelsWhat you get beyond "raw Spark on VMs"
- Optimized runtimes, autoscaling clusters, job vs interactive clusters
- Unity Catalog / workspace governance (depending on setup)
- Delta Lake: ACID tables on the lake (time travel, merges)
- Easy ADF / Synapse integration on Azure
Typical DE flow
Bronze (raw) → Silver (cleaned) → Gold (marts) as Delta tables, orchestrated by Databricks Workflows or ADF/Airflow.
Interview tip: "Azure Databricks = managed Spark lakehouse on ADLS, usually with Delta." Mention medallion layers so it sounds production-ready.