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
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 more
Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support.Read more
|Ease of setup||Fully managed (but hard)||Fully managed|
|Native integrations||Within AWS||Secrets, buckets|
|Notebooks as products||No||Articles|