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||Fully managed||Local (hard) or on a server (hard)|
|Native integrations||SQL databases||Rich plugin ecosystem|
|Reproducibility||OK (only SQL)||OK (only SQL)|
|Notebooks as products||Public notebooks, shared reports||Scheduled runs|