SQL-based ETL on Databricks
Run all your SQL-based ETL on a single platform, from development to production
Build, run and manage all SQL-based ETL on a single, unified platform
SQL is the foundation of modern data work, but SQL-based ETL is often fragmented across warehouses, transformation tools and orchestration systems. Databricks unifies how SQL ETL is built, run and operated on a single platform — supporting everything from scripts and stored procedures to declarative and no-code approaches — with built-in orchestration, governance and serverless, AI-driven performance.
Unify SQL-based ETL on one platform
Support for every SQL ETL workflow
Databricks supports how SQL teams actually build ETL. Run scripts and stored procedures, develop declarative transformations or enable no-code data preparation — all on the same platform. Each approach shares a common execution engine, governance model and observability framework, so teams can work in the way that fits them without introducing fragmentation.
Modernize ETL without rewriting
Bring existing SQL-based ETL to Databricks and run it as-is, then evolve at your own pace. Teams can lift and shift warehouse-style SQL, consolidate fragmented systems and incrementally adopt declarative, incremental or real-time patterns over time. This approach reduces migration risk and avoids costly rewrites while providing a path to more scalable, future-ready SQL ETL.
Learn more about SQL-based ETL on Databricks
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