Amazon SageMaker vs. Query.me

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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Query.me

Logo of Query.me

Collaborative SQL Notebooks. A better way for data teams to analyze, unite & deliver.

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Amazon SageMaker Query.me
License Proprietary Proprietary
Ease of setup Fully managed (but hard) Fully managed
Native integrations Within AWS SQL databases
Collaboration Shared copies Asynchrounous
Comments No No
Versioning Using git No
Reproducibility Problematic OK (only SQL)
Notebooks as products No Public notebooks, shared reports