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||Rich plugin ecosystem||Data stores|
|Reproducibility||OK (only SQL)||OK (only SQL)|
|Notebooks as products||Scheduled runs||Scheduled runs, public notebooks|