Amazon SageMaker vs. Polynote

The comparison of the two data science notebooks. Both of them are great tools!

The table below summarizes some of the main differences.

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Amazon SageMaker

Logo of Amazon 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.

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Logo of Polynote

Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

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Amazon SageMaker Polynote
License Proprietary Open Source
Ease of setup Fully managed (but hard) Local (hard) or on a server (hard)
Native integrations Within AWS No
Collaboration Shared copies Using git
Versioning Using git Using git
Reproducibility Problematic Problematic
Notebooks as products No No