Amazon SageMaker vs. Count

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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Count

Logo of Count

The BI notebook built for analysts. Simplify your workflow, collaborate with others and create the analysis your company craves in record time.

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Amazon SageMaker Count
License Proprietary Proprietary
Ease of setup Fully managed (but hard) Fully managed
Native integrations Within AWS Data stores
Collaboration Shared copies Real-time
Versioning Using git No
Reproducibility Problematic OK (only SQL)
Notebooks as products No Shared reports