Databricks Notebooks vs. Jupyter

The comparison of the two data science notebooks. Both of them are great tools!

The table below summarizes some of the main differences.

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Databricks Notebooks

Logo of Databricks Notebooks

A notebook is a web-based interface to a document that contains runnable code, visualizations, and narrative text.

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Jupyter

Logo of Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.

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Databricks Notebooks Jupyter
License Proprietary Open Source
Ease of setup Fully managed Local (easy) or on a server (hard)
Native integrations Data ingest tools N/A
Collaboration Real-time Using git
Versioning Native Using git
Reproducibility Environment Problematic
Notebooks as products Scheduled runs Plugins & python packages