Amazon SageMaker vs. Querybook
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 notebooksAmazon SageMaker
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.
Read moreQuerybook
Discover, analyze, and collaborate. Querybook is Pinterest’s open-source big data IDE via a notebook interface.
Read more| – | Amazon SageMaker | Querybook |
|---|---|---|
| License | Proprietary | Open Source |
| Ease of setup | Fully managed (but hard) | Local (hard) or on a server (hard) |
| Native integrations | Within AWS | Rich plugin ecosystem |
| Collaboration | Shared copies | Real-time |
| Comments | No | No |
| Versioning | Using git | No |
| Reproducibility | Problematic | OK (only SQL) |
| Notebooks as products | No | Scheduled runs |