Amazon SageMaker vs. Husprey

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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Husprey

Logo of Husprey

Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.

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Amazon SageMaker Husprey
License Proprietary Proprietary
Ease of setup Fully managed (but hard) Fully managed
Native integrations Within AWS Data stores
Collaboration Shared copies Asynchrounous
Comments No Yes
Versioning Using git Native
Reproducibility Problematic OK (only SQL)
Notebooks as products No Scheduled runs, public notebooks