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You can use dashboards to build data visualizations and share reports with your team. AI/BI dashboards feature AI-assisted authoring, an enhanced visualization library, and a streamlined configuration experience so that you can quickly transform data into sharable insights. When published, your dashboards can be shared with anyone registered to your Azure Databricks account, even if they don't have access to the workspace.
Important
Databricks recommends using AI/BI dashboards (formerly Lakeview dashboards). Earlier versions of dashboards, previously referred to as Databricks SQL dashboards, are now called legacy dashboards.
End of support timeline:
- January 12, 2026: Legacy dashboards and APIs are no longer directly accessible. However, you can still convert them to AI/BI dashboards. The migration page is available until March 2, 2026.
Convert legacy dashboards using the migration tool or REST API. See Clone a legacy dashboard to an AI/BI dashboard for instructions on using the built-in migration tool. See Use Azure Databricks APIs to manage dashboards for tutorials on creating and managing dashboards using the REST API.
Author dashboards
| Feature | Description |
|---|---|
| Author dashboards | Learn how to create, view, organize, and delete dashboards. Collaborate on drafts and use keyboard shortcuts for efficient editing. |
| Datasets | Define datasets from tables, views, or custom queries to power your dashboard visualizations. |
| Visualizations | Create charts and visualizations using AI-assisted authoring or manual configuration. Explore visualization types and formatting options. |
| Filters | Apply global, page-level, and widget-level filters to focus on specific data. Use cross-filtering and drill-through for interactive exploration. |
| Custom calculations | Create calculated fields and level-of-detail expressions to analyze your data without modifying the dataset. |
| Dashboard settings | Customize your dashboard's theme, colors, fonts, and locale settings. |
Share and collaborate
| Feature | Description |
|---|---|
| Publish and share dashboards | Publish dashboards with shared or individual data permissions. Share at workspace and account levels. |
| Schedule and subscribe | Set up automated refresh schedules and email or Slack subscriptions for published dashboards. |
| Embed dashboards | Embed published dashboards in external websites and applications using iframes. |
| Genie spaces | Enable natural language data exploration by publishing Genie spaces with your dashboards. |
Automate and integrate
| Feature | Description |
|---|---|
| Import and export | Transfer dashboards across workspaces by exporting and importing dashboard files. Edit dashboard files directly for advanced customization. |
| Source control | Use Git integration to version control your dashboards and collaborate with teams. |
| Databricks Asset Bundles | Manage dashboards programmatically using Databricks Asset Bundles for infrastructure-as-code workflows. |
| REST APIs | Automate dashboard creation, management, and sharing using Azure Databricks REST APIs. |
| Lakeflow Jobs | Schedule dashboard updates using Lakeflow Jobs for automated workflow orchestration. |
Monitor usage
| Feature | Description |
|---|---|
| Monitor usage | Track dashboard creation, views, and interactions using audit logs and system tables. |
Migrate from legacy
Migrate from legacy dashboards to AI/BI dashboards to access new features such as AI-assisted authoring, enhanced visualizations, and account-level sharing. See Clone a legacy dashboard to an AI/BI dashboard.
Next steps
- Get started with tutorials: Follow step-by-step guides to create your first dashboard, use AI-assisted visualizations, and learn advanced techniques. See Dashboard tutorials.
- Explore example dashboards: Clone and customize pre-built dashboards to jump-start your analytics. See Create a dashboard.
- Optimize performance: Learn about caching strategies and optimization techniques for large datasets. See Dataset optimization and caching.
- Connect to your data: Understand how to define datasets and connect to tables, views, and custom queries. See Create and manage dashboard datasets.