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| Description | Deepnote is a collaborative virtual notebook which allows data scientists to instantly collaborate and quickly deploy data within a team. It is a browser-based service which can be used across any platform, such as Windows, Mac, Chromebook or Linux, without requiring any additional downloads. Users can create projects in the notebook consisting of the code and the data, and running in one environment. It can be shared with other people who can use it simultaneously. This collaboration feature allows data scientists to review other notebooks, present their work to colleagues instantly, and transfer their models to the engineering teams. The platform increases the user’s productivity during tasks like exploring and cleansing data or building ML models. The main features that ensure this include variables and better plots, code intelligence, and shortcuts and command palette. The notebook integrates easily with the existing infrastructure and workflows and with other platforms like GitHub and GitLab, MongoDB, and S3 buckets. Deepnote makes working with datasets easy and secure. Read more | Amazon SageMaker is a fully integrated service that allows data scientists and developers to easily and quickly train, deploy, and build machine learning models at any range by bringing all bot set capabilities together. It allows users to upload data quickly, tune and train models, compare results and deploy production models all in one place. This software offers a single web-based visual interface to perform all machine learning development steps and enhance data science and team productivity. Moreover, Amazon SageMaker comprises the autopilot features that eliminate the heavy lifting of building a machine learning model and helps users automatically train, build, and tune the ideal machine learning model based on their data. Amazon SageMaker autopilot will automatically search different solutions to discover the best model. Users then can directly deploy the model to production in one click to enhance the model quality. Amazon SageMaker offers other extensive features that assists users in simplifying the data preparation process and helping complete the data preparation workflow. Amazon SageMaker offers a premium and follows a subscription-based pricing strategy. Read more |
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Deepnote Custom |
Amazon SageMaker Others |
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Databricks
4 Based on 130 Ratings 
Azure Machine Learning Studio
4.5 Based on 65 Ratings 
Google Cloud AutoML
4.3 Based on 22 Ratings |
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| Company Details | Located in: Prague, Czech Republic |
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Not available https://www.deepnote.com/ |
Not available https://aws.amazon.com/sagemaker/ |
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