Amazon SageMaker vs. VS Code

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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VS Code

Logo of VS Code

Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.

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Amazon SageMaker VS Code
License Proprietary Open Source
Ease of setup Fully managed (but hard) Local
Native integrations Within AWS No
Collaboration Shared copies Using git
Versioning Using git Using git, has pretty diffing
Reproducibility Problematic Problematic
Notebooks as products No No