The comparison of the two data science notebooks. Both of them are great tools!
The table below summarizes some of the main differences.See all notebooks
|Ease of setup||Local (hard) or on a server (hard)||Fully managed|
|Native integrations||No||Data stores|
|Collaboration||Asynchronous (on server)||Asynchrounous|
|Reproducibility||Problematic||OK (only SQL)|
|Notebooks as products||No||Scheduled runs, public notebooks|