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.

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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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Querybook

Logo of Querybook

Discover, analyze, and collaborate. Querybook is Pinterest’s open-source big data IDE via a notebook interface.

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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