

Uniquely designed to take advantage of full IDE capabilities

You can utilize the Lakehouse's scale to process and analyze large data sets, use clusters for queries and visualizations, train machine learning models, and deploy jobs to production so that anyone in your organization can see and use data to make decisions, all within VS Code. All of the Databricks components, such as clusters, pipelines, and tasks, are integrated into your VS Code workspace and regular workflow. Your Databricks objects can be managed inside VS Code natively with the new extension, allowing you to stay in your IDE and prevent context switching between applications. Now that you can build on Databricks within VS Code, you can perform all of your work in one location. The full power of the Databricks Lakehouse in your IDE Apply software development best practices and utilize VS Code's native capabilities for editing, refactoring, testing, and CI/CD for your data and AI projects. You can author the code for your pipelines and jobs in VS Code, then deploy, test and run it in real-time on your Databricks cluster. Databricks is investing heavily in our developer ecosystem, and will be rolling out support for other IDEs and additional tools.Ĭheck out a quick demo here, or read more below:īuild all of your data and AI applications while staying inside your IDE. This will be the first of many planned releases for teams who rely on IDEs for their development process.

IDEs let developers employ best practices that become necessary with large codebases, such as source code control, modular code layouts, refactoring support, and integrated unit testing. This new extension enables developers to write code locally, leveraging the powerful authoring capabilities of the IDE, while connecting to Databricks clusters to run code remotely. On this lovely day, we are thrilled to announce a new and powerful development experience for the Databricks Lakehouse Platform: the VS Code Extension for Databricks. Happy Valentine's Day! Databricks ❤️ Visual Studio Code.
