Databricks Notebooks
Collaborate across engineering, data science, and machine learning teams with support for multiple languages, built-in data visualizations, automatic versioning, and operationalization with jobs.
Databricks Notebooks capabilities
Setup
Can you self-host?
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Jupyter-compatible
Programming languages
Jupyter languages (e.g. Python, R)
What kind of data sources can you connect to?
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Databricks)
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
No reactivity, you decide the execution order
Management
Reproducibility
Environments are reproducible by default
Comments
Comment on items within a notebook
Notebook organization
View notebooks in a list
Licensing
License
Proprietary
Price
Free tier
Pay for compute
Databricks Notebooks examples
Alternatives to Databricks Notebooks
| Tool | Setup | Jupyter compatibility | Programming languages | Data visualization | Collaborative editing | Pricing | License |
|---|---|---|---|---|---|---|---|
| Databricks Notebooks | Self-hosted or fully managed | Jupyter-compatible | Jupyter | Visualize with code or UI | Realtime collaboration | Free and paid options | Proprietary |
| Jupyter Compare with | Self-hosted | Jupyter-compatible | Jupyter | Visualize with code | File-based or asynchronous collaboration | Free | Open source |
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