Sign inGet started

Databricks Notebooks vs VS Code:
a side-by-side comparison for 2024

Comparing two data science notebooks.

A screenshot of Databricks Notebooks
Databricks Notebooks logo

Databricks Notebooks

Website
Collaborate across engineering, data science, and machine learning teams with support for multiple languages, built-in data visualizations, automatic versioning, and operationalization with jobs.

Read about alternatives

Background gradient
A screenshot of VS Code
VS Code logo

VS Code

Website
Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.
Background gradient

Databricks Notebooks

VS Code

Setup

Is it managed?

Is it managed?

Fully managed (setup in minutes)
No, you must host it yourself

Can you self-host?

Can you self-host?

You can self-host (setup in hours)
You can self-host (setup in hours)

Features

Is it Jupyter compatible?

Is it Jupyter compatible?

Jupyter-compatible
Jupyter-compatible

Programming languages

Programming languages

Jupyter languages (e.g. Python, R)
Jupyter languages (e.g. Python, R)

What kind of data sources can you connect to?

What kind of data sources can you connect to?

Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Databricks)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)

What kind of data visualization can you do?

What kind of data visualization can you do?

Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)

Reactivity

Reactivity

No reactivity, you decide the execution order
No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling

Notebook scheduling is built in
Notebook scheduling with additional tools

Management

Reproducibility

Reproducibility

Environments are reproducible by default
There is no support for reproducibility

Version history

Version history

Version history is built in
File-based (use Git)

Collaborative editing

Collaborative editing

Multiple editors at the same time
File-based (use Git)

Comments

Comments

Comment on items within a notebook
File-based (use GitHub)

Notebook organization

Notebook organization

View notebooks in a list
File-based

Licensing

License

License

Proprietary
Open-source (MIT)

Price

Price

Free tier
Pay for compute
Free

That’s it, time to try Deepnote

Get started – it’s free
Book a demo

Footer

Product

  • Integrations
  • Pricing
  • Documentation
  • Changelog
  • Security

Company

Comparisons

Resources

  • Privacy
  • Terms

© Deepnote