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Cloudera Data Science Workbench vs. IBM Watson Studio on Cloud Pak for Data

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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

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
    Pricing
    Data Science WorkbenchIBM Watson Studio
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Data Science WorkbenchIBM Watson Studio
    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
    Data Science WorkbenchIBM Watson Studio
    Considered Both Products
    Cloudera
    No answer on this topic
    IBM
    Chose IBM Watson Studio
    IBM DSx is more comprehensive and easy to use, IBM Data science experience has many connectors to the data source and guarantees the portability with your old projects.
    Incentivized
    Chose IBM Watson Studio
    DSX is a good challenger for Databricks and co. It is Enterprise ready and well integrated.
    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
    Data Science WorkbenchIBM Watson Studio
    Platform Connectivity
    Comparison of Platform Connectivity features of Cloudera Data Science Workbench and IBM Watson Studio on Cloud Pak for Data
    Feature
    Cloudera Data Science Workbench
    7.5
    2 Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    Connect to Multiple Data Sources7.02 Ratings8.022 Ratings
    Extend Existing Data Sources8.02 Ratings8.022 Ratings
    Automatic Data Format Detection7.02 Ratings10.021 Ratings
    MDM Integration8.02 Ratings6.414 Ratings
    Data Exploration
    Comparison of Data Exploration features of Cloudera Data Science Workbench and IBM Watson Studio on Cloud Pak for Data
    Feature
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    Visualization7.12 Ratings10.022 Ratings
    Interactive Data Analysis8.02 Ratings10.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Cloudera Data Science Workbench and IBM Watson Studio on Cloud Pak for Data
    Feature
    Cloudera Data Science Workbench
    7.8
    2 Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    Interactive Data Cleaning and Enrichment7.02 Ratings10.022 Ratings
    Data Transformations8.02 Ratings10.021 Ratings
    Data Encryption8.02 Ratings8.020 Ratings
    Built-in Processors8.02 Ratings10.021 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Cloudera Data Science Workbench and IBM Watson Studio on Cloud Pak for Data
    Feature
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    Multiple Model Development Languages and Tools8.02 Ratings10.021 Ratings
    Automated Machine Learning7.01 Ratings10.022 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 IBM Watson Studio on Cloud Pak for Data
    Feature
    Cloudera Data Science Workbench
    8.0
    2 Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    Flexible Model Publishing Options8.12 Ratings9.022 Ratings
    Security, Governance, and Cost Controls7.82 Ratings7.022 Ratings
    User Ratings
    Data Science WorkbenchIBM Watson Studio
    Likelihood to Recommend
    9.0
    (3 ratings)
    8.0
    (65 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (1 ratings)
    Usability
    -
    (0 ratings)
    9.6
    (2 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    7.9
    (2 ratings)
    8.2
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)