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Azure Machine Learning vs. Cloudera Data Science Workbench

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Machine Learning

    Score8.2 out of 10
    N/AMicrosoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

    $0

    per month

    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
    Pricing
    Azure Machine LearningData Science Workbench
    Editions & Modules
    Studio Pricing - Free
    $0.00
    per month
    Production Web API - Dev/Test
    $0.00
    per month
    Studio Pricing - Standard
    $9.99
    per ML studio workspace/per month
    Production Web API - Standard S1
    $100.13
    per month
    Production Web API - Standard S2
    $1000.06
    per month
    Production Web API - Standard S3
    $9999.98
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Machine LearningData Science Workbench
    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
    Community Pulse
    Azure Machine LearningData Science Workbench
    Considered Both Products
    Microsoft
    Chose Azure Machine Learning
    It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved …
    Incentivized
    Cloudera
    Chose Data Science Workbench
    Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Azure Machine LearningData Science Workbench
    Platform Connectivity
    Comparison of Platform Connectivity features of Azure Machine Learning and Cloudera Data Science Workbench
    Feature
    Azure Machine Learning
    -
    Ratings
    Cloudera Data Science Workbench
    7.5
    2 Ratings
    Connect to Multiple Data Sources00 Ratings7.02 Ratings
    Extend Existing Data Sources00 Ratings8.02 Ratings
    Automatic Data Format Detection00 Ratings7.02 Ratings
    MDM Integration00 Ratings8.02 Ratings
    Data Exploration
    Comparison of Data Exploration features of Azure Machine Learning and Cloudera Data Science Workbench
    Feature
    Azure Machine Learning
    -
    Ratings
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    Visualization00 Ratings7.12 Ratings
    Interactive Data Analysis00 Ratings8.02 Ratings
    Data Preparation
    Comparison of Data Preparation features of Azure Machine Learning and Cloudera Data Science Workbench
    Feature
    Azure Machine Learning
    -
    Ratings
    Cloudera Data Science Workbench
    7.8
    2 Ratings
    Interactive Data Cleaning and Enrichment00 Ratings7.02 Ratings
    Data Transformations00 Ratings8.02 Ratings
    Data Encryption00 Ratings8.02 Ratings
    Built-in Processors00 Ratings8.02 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Azure Machine Learning and Cloudera Data Science Workbench
    Feature
    Azure Machine Learning
    -
    Ratings
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    Multiple Model Development Languages and Tools00 Ratings8.02 Ratings
    Automated Machine Learning00 Ratings7.01 Ratings
    Single platform for multiple model development00 Ratings7.12 Ratings
    Self-Service Model Delivery00 Ratings8.12 Ratings
    Model Deployment
    Comparison of Model Deployment features of Azure Machine Learning and Cloudera Data Science Workbench
    Feature
    Azure Machine Learning
    -
    Ratings
    Cloudera Data Science Workbench
    8.0
    2 Ratings
    Flexible Model Publishing Options00 Ratings8.12 Ratings
    Security, Governance, and Cost Controls00 Ratings7.82 Ratings
    User Ratings
    Azure Machine LearningData Science Workbench
    Likelihood to Recommend
    8.0
    (4 ratings)
    9.0
    (3 ratings)
    Likelihood to Renew
    7.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    7.0
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    7.9
    (2 ratings)
    7.9
    (2 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)