Databricks, primarily known as a unified analytics platform for big data and machine learning, also offers data visualization capabilities as part of its integrated environment. Using notebooks, users can easily create visualizations such as charts, graphs, and dashboards from data stored in Spark DataFrames. Databricks supports multiple visualization libraries, including Matplotlib, Plotly, and native SQL-based visualizations, allowing users to explore, analyze, and present data insights interactively. With its ability to handle large datasets and perform real-time analytics, Databricks provides a powerful data visualization option, especially when working with big data or integrating with machine learning workflows.