Amazon SageMaker vs. Jetbrains Datalore

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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Jetbrains Datalore

Logo of Jetbrains Datalore

A powerful online environment for Jupyter notebooks. Use smart coding assistance for Python in online Jupyter notebooks, run code on powerful CPUs and GPUs, collaborate in real-time, and easily share the results.

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Amazon SageMaker Jetbrains Datalore
License Proprietary Proprietary
Ease of setup Fully managed (but hard) Fully managed
Native integrations Within AWS Secrets, S3
Collaboration Shared copies Real-time
Versioning Using git No
Reproducibility Problematic Environment, reactivity
Notebooks as products No Articles