Databricks Widgets: Building Interactive Data Applications

📰 Medium · Data Science

Learn to build interactive data applications using Databricks Widgets, making your work reproducible and user-friendly

intermediate Published 22 Apr 2026

Action Steps

Create a new Databricks notebook and add input controls using Widgets
Use the four types of Widgets (e.g. dropdowns, text boxes) to parameterize your code
Read input values from Widgets in your Python, SQL, Scala, or R code
Automate your notebook by running it with different parameter values
Share your interactive notebook with others for collaboration and feedback

Who Needs to Know This

Data engineers and data scientists can benefit from using Databricks Widgets to create interactive and reproducible notebooks, improving collaboration and automation

Key Insight

💡 Databricks Widgets enable you to add input controls to your notebooks, making them reproducible, user-friendly, and ready for automation