Count vs. Amazon SageMaker

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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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

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