Sign inGet started

DataCamp Workspace vs Zeppelin:
a side-by-side comparison for 2024

Comparing two data science notebooks.

A screenshot of DataCamp Workspace
DataCamp Workspace logo

DataCamp Workspace

Website
DataCamp Workspace is a cloud-based data science notebook to analyze data, collaborate with others, and share insights — no installation required.
Background gradient
A screenshot of Zeppelin
Zeppelin logo

Zeppelin

Website
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Background gradient

DataCamp Workspace

Zeppelin

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?

No, you must use a managed offering
You can self-host (setup in hours)

Features

Is it Jupyter compatible?

Is it Jupyter compatible?

Jupyter-compatible
Not Jupyter-compatible

Programming languages

Programming languages

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

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 (AWS, GCP, etc.)
Connect to databases (Postgres, MS SQL, etc.)
Provided file storage

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
Unknown

Reactivity

Reactivity

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

Notebook scheduling

Notebook scheduling

No notebook scheduling
Notebook scheduling is built in

Management

Reproducibility

Reproducibility

Environments are reproducible by default
With effort, you can make reproducible environments

Version history

Version history

No version history
File-based (use Git)

Collaborative editing

Collaborative editing

Multiple editors at the same time
File-based (use Git)
Multiple editors, one at a time (asynchronous)

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 (Apache 2.0)

Price

Price

Free tier
Pay-per-user
Free

That’s it, time to try Deepnote

Get started – it’s free
Book a demo

Footer

Solutions

  • Notebook
  • Data apps
  • Machine learning
  • Data teams

Product

Company

Comparisons

Resources

  • Privacy
  • Terms

© Deepnote