What is a key feature of dashboards in Databricks?

Dashboards in Databricks are designed to provide users with the capability to create dynamic and engaging visualizations that can be updated in real-time. This key feature enhances the user's ability to monitor data and gain insights quickly. Real-time data updates allow users to see how their data changes as new information comes in, which is crucial for making timely decisions based on the latest data trends.

Interactive visualizations in dashboards enable users to engage with the data more intuitively, allowing for exploration and deeper analysis. Users can often filter, drill down, and manipulate data directly within the dashboard, fostering a more hands-on approach to data analysis and reporting. This level of interactivity is essential for effectively communicating insights and supporting data-driven decisions in various business contexts.

In contrast, the other options do not accurately capture the strengths of dashboards in Databricks. Integration with external databases alone does not define a dashboard's core capabilities, while a limitation on visualization options or the need for complex coding would hinder user accessibility and efficiency, which are not characteristics associated with Databricks dashboards.