What is... a Notebook?

The Notebook is the front door to Databricks - it's where most of your time is spent on the platform. Analysts can write Python code for custom analysis; data engineers can orchestrate and monitor pipelines, and users can run complex integrated operations like upserts on databases. And all in a pretty UI!

Features:

Multi-language (use Python, Scala, SQL and R)
Collaborative (real-time co-editing, co-commenting)
Jupyter-compatible
Ideal for exploration (built in visualization, summarization of data profiles)
Refactor notebooks into modules in the workspace and pull them into pipelines
Support for git controls
Schedulable to be used as jobs
Integrated with Unity Catalog for access-control purposes
Fast auto-complete, databricks aware

Demo

Source