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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Zepl enables data science teams to rapidly explore, analyze and collaborate around their cloud data. In just minutes, Zepl brings machine learning at scale to data scientists, data engineers, data analysts, team managers and executives. Used by high tech, financial services, pharmaceutical, IoT, and automotive companies, Zepl changes the game by automating model-driven insights in a highly secure manner. Zepl rapidly accelerates experimentation, frictionless collaboration, training of ML models, and transforms customers from reactive to proactive enterprises through the use of powerful machine learning insights. Try Zepl for free today at www.zepl.com.
Amazon SageMaker is ranked 9th in Data Science Platforms with 1 review while Zepl is ranked 30th in Data Science Platforms. Amazon SageMaker is rated 7.0, while Zepl is rated 0.0. The top reviewer of Amazon SageMaker writes "Good deployment and monitoring features, but the interface could use some improvement". On the other hand, Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and Anaconda, whereas Zepl is most compared with Databricks and Dataiku Data Science Studio.
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