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Cloudera Data Science Workbench vs. Jupyter Notebook

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Cloudera Data Science Workbench

13 Reviews and Ratings

Jupyter Notebook

130 Reviews and Ratings

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Data Science Workbench

    Score6.7 out of 10
    		N/ACloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.N/A

    Jupyter Notebook

    Score9.4 out of 10
    		N/AJupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
    Pricing
    Data Science WorkbenchJupyter Notebook
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Data Science WorkbenchJupyter Notebook
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    Data Science WorkbenchJupyter Notebook
    Platform Connectivity
    Comparison of Platform Connectivity features of Cloudera Data Science Workbench and Jupyter Notebook
    Feature
    Cloudera Data Science Workbench
    7.5
    2 Ratings
    Jupyter Notebook
    9.0
    22 Ratings
    Connect to Multiple Data Sources7.02 Ratings10.022 Ratings
    Extend Existing Data Sources8.02 Ratings10.021 Ratings
    Automatic Data Format Detection7.02 Ratings8.514 Ratings
    MDM Integration8.02 Ratings7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of Cloudera Data Science Workbench and Jupyter Notebook
    Feature
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    Jupyter Notebook
    7.0
    22 Ratings
    Visualization7.12 Ratings6.022 Ratings
    Interactive Data Analysis8.02 Ratings8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Cloudera Data Science Workbench and Jupyter Notebook
    Feature
    Cloudera Data Science Workbench
    7.8
    2 Ratings
    Jupyter Notebook
    9.5
    22 Ratings
    Interactive Data Cleaning and Enrichment7.02 Ratings10.021 Ratings
    Data Transformations8.02 Ratings10.022 Ratings
    Data Encryption8.02 Ratings8.514 Ratings
    Built-in Processors8.02 Ratings9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Cloudera Data Science Workbench and Jupyter Notebook
    Feature
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    Jupyter Notebook
    9.3
    22 Ratings
    Multiple Model Development Languages and Tools8.02 Ratings10.021 Ratings
    Automated Machine Learning7.01 Ratings9.218 Ratings
    Single platform for multiple model development7.12 Ratings10.022 Ratings
    Self-Service Model Delivery8.12 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Cloudera Data Science Workbench and Jupyter Notebook
    Feature
    Cloudera Data Science Workbench
    8.0
    2 Ratings
    Jupyter Notebook
    10.0
    20 Ratings
    Flexible Model Publishing Options8.12 Ratings10.020 Ratings
    Security, Governance, and Cost Controls7.82 Ratings10.019 Ratings
    User Ratings
    Data Science WorkbenchJupyter Notebook
    Likelihood to Recommend
    9.0
    (3 ratings)
    10.0
    (23 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (2 ratings)
    Support Rating
    7.9
    (2 ratings)
    9.0
    (1 ratings)