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– | Count | Querybook |
---|---|---|
License | Proprietary | Open Source |
Ease of setup | Fully managed | Local (hard) or on a server (hard) |
Native integrations | Data stores | Rich plugin ecosystem |
Collaboration | Real-time | Real-time |
Comments | No | No |
Versioning | No | No |
Reproducibility | OK (only SQL) | OK (only SQL) |
Notebooks as products | Shared reports | Scheduled runs |