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5.1.4. Data Processing with Azure Databricks
š” First Principle: Databricks is a Spark-based analytics platform optimized for data engineering, data science, and machine learning. While Synapse Spark is capable, Databricks offers deeper ML capabilities, native Delta Lake optimization, and MLOps tooling (MLflow). Choose Databricks when ML is the primary focus.
When to Use Databricks vs. Synapse Spark
| Requirement | Databricks | Synapse Spark |
|---|---|---|
| Heavy ML / Data Science | ā (Preferred) | Capable |
| MLOps / MLflow | ā Built-in | Limited |
| Delta Lake Native | ā Optimized | Supported |
| Unified with SQL Warehouse | Limited | ā (Same workspace) |
Written byAlvin Varughese
Founderā¢15 professional certifications