The Databricks UI includes a SQL editor that you can use to author queries, browse available data, and create visualizations. You can also share your saved queries with other team members in the workspace.

Oct 14, 2024 · The new SQL editor blends the best aspects of the platform into a unified and streamlined SQL authoring experience. It also offers several improved features, including multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, and a variety of editor productivity features to take your SQL development to the ...

Jan 28, 2025 · This article explains how to access the new SQL editor, manage queries and permissions, and use the new features available in the UI. To learn more about basic functionality like authoring queries, browsing available data, and creating visualizations, see Write queries and explore data in the SQL editor.

Nov 22, 2024 · This article explains how to work with query parameters in the . Databricks SQL editor. Query parameters allow you to make your queries more dynamic and flexible by inserting variable values at runtime.

Dec 17, 2024 · We’re excited to announce the Public Preview of Query Git integration as part of the new SQL Editor. Git support for queries has been one of the most requested features from our SQL users. With this release, you can now store and manage your queries in version control, enabling seamless integration into your CI/CD pipelines.

Sep 10, 2024 · We have also infused AI into our user experience, making Databricks SQL easier to use and more productive for SQL analysts. The Databricks AI Assistant, now generally available, is a built-in, context-aware AI assistant that helps SQL analysts create, edit …

Mar 17, 2023 · Here are the top 10 best practices for crafting SQL in Databricks SQL for efficiency and scale. SELECT * FROM this_table; will return all the columns and rows of a table, which if you don't...

Jun 29, 2023 · No difference, both are very similar only difference is that in the SQL editor you cannot take advantage of things like SQL serverless clusters, better visibility of data objects and a more simplified exploration tooling. SQL in notebooks mostly run through Spark sessions so you'll be limited but what's available in that scope.

The Azure Databricks UI includes a SQL editor that you can use to author queries, browse available data, and create visualizations. You can also share your saved queries with other team members in the workspace.

Dec 18, 2024 · It shows you how to use SQL editor in Databricks SQL to create a visualization for each of several queries and then create a dashboard using these visualizations. It also shows you how to create a dashboard parameter for each of the visualizations in the dashboard. Databricks recommends using AI/BI dashboards (formerly Lakeview dashboards).