SQL language reference - Databricks on AWS
Oct 8, 2025 · This is a SQL command reference for Databricks SQL and Databricks Runtime. For information about using SQL with Lakeflow Spark Declarative Pipelines, see Pipeline SQL language …
Data Warehousing with Databricks SQL | Databricks
Eliminate the cost and complexity of legacy data warehouses with Databricks SQL — a serverless data warehouse built on lakehouse architecture that natively integrates AI.
Data warehousing on Databricks | Databricks on AWS
Nov 25, 2025 · Learn about building a data warehousing solution on the Databricks platform using Databricks SQL.
What’s new with Databricks SQL
Sep 10, 2024 · The latest new features and performance improvements that make Databricks SQL simpler, faster and lower cost for data warehousing.
CREATE PROCEDURE - Databricks on AWS
6 days ago · Learn how to create and use stored procedures in Databricks SQL and Databricks Runtime.
What's new with Databricks SQL, February 2025
Feb 21, 2025 · Databricks SQL continues to evolve with new features and performance improvements designed to make it simpler, faster, and more cost-efficient. Built on the lakehouse architecture within …
Introducing Lakebridge: Free, Open Data Migration to Databricks SQL
Jun 12, 2025 · We’re excited to introduce Lakebridge, a free migration tool that simplifies and accelerates enterprise data warehouse (EDW) migrations to Databricks SQL.
Introducing Recursive Common Table Expressions: Making Databricks …
Jul 21, 2025 · Recursive Common Table Expressions (CTEs) are now supported in Databricks. This brings a native way to express loops and traversals in SQL, useful for working with hierarchical and …
Tutorial - Databricks SQL Workspace
Discover the power of Databricks SQL Workspace for beginners. Run SQL and BI applications at scale with better price/performance and no lock-in.
Navigating the SQL Server to Databricks Migration: Tips for a Seamless ...
May 5, 2025 · Migrating from T-SQL to Databricks SQL requires refactoring SQL scripts, stored procedures, and ETL workflows into Databricks-compatible formats while optimizing performance.