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||Data ingest tools||Rich plugin ecosystem|
|Reproducibility||Environment||OK (only SQL)|
|Notebooks as products||Scheduled runs||Scheduled runs|