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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    NVIDIA RAPIDS

    Score9.1 out of 10
    N/ANVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs. Users can run data science workflows with high-speed GPU compute and parallelize data loading, data manipulation, and machine learning for 50X faster end-to-end data science pipelines.N/A
    Pricing
    NVIDIA RAPIDS
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    NVIDIA RAPIDS
    Free Trial
    No
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    NVIDIA RAPIDS
    Considered Both Products
    NVIDIA
    Chose NVIDIA RAPIDS
    RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    Features
    NVIDIA RAPIDS
    Platform Connectivity
    Comparison of Platform Connectivity features of NVIDIA RAPIDS
    Feature
    NVIDIA RAPIDS
    9.1
    2 Ratings
    8% above category average
    Connect to Multiple Data Sources9.62 Ratings
    Extend Existing Data Sources8.82 Ratings
    Automatic Data Format Detection9.02 Ratings
    MDM Integration9.01 Ratings
    Data Exploration
    Comparison of Data Exploration features of NVIDIA RAPIDS
    Feature
    NVIDIA RAPIDS
    9.4
    2 Ratings
    12% above category average
    Visualization9.42 Ratings
    Interactive Data Analysis9.42 Ratings
    Data Preparation
    Comparison of Data Preparation features of NVIDIA RAPIDS
    Feature
    NVIDIA RAPIDS
    8.9
    2 Ratings
    9% above category average
    Interactive Data Cleaning and Enrichment7.82 Ratings
    Data Transformations9.42 Ratings
    Data Encryption9.01 Ratings
    Built-in Processors9.42 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of NVIDIA RAPIDS
    Feature
    NVIDIA RAPIDS
    9.2
    2 Ratings
    9% above category average
    Multiple Model Development Languages and Tools9.01 Ratings
    Automated Machine Learning9.42 Ratings
    Single platform for multiple model development9.42 Ratings
    Self-Service Model Delivery9.01 Ratings
    Model Deployment
    Comparison of Model Deployment features of NVIDIA RAPIDS
    Feature
    NVIDIA RAPIDS
    9.2
    2 Ratings
    8% above category average
    Flexible Model Publishing Options9.42 Ratings
    Security, Governance, and Cost Controls9.01 Ratings
    Best Alternatives
    NVIDIA RAPIDS
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Anaconda
    Score8.1 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternatives
    User Ratings
    NVIDIA RAPIDS
    Likelihood to Recommend
    10.0
    (2 ratings)
    User Testimonials
    NVIDIA RAPIDS
    Likelihood to Recommend
    NVIDIA
    NVIDIA RAPIDS drastically improves our productivity with near-interactive data science. And increases machine learning model accuracy by iterating on models faster and deploying them more frequently. It gives us the freedom to execute end-to-end data science and analytics pipelines.
    Incentivized
    Read full review
    Pros
    NVIDIA
    • Visualization
    • Deep learning pipeline
    • State of the art libraries
    Incentivized
    Read full review
    Cons
    NVIDIA
    • Its not flexible and cost effective for all sizes of organizations.
    • I appreciate it has hassle-free integration.
    Incentivized
    Read full review
    Alternatives Considered
    NVIDIA
    RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model accuracy. The great value of money.
    Incentivized
    Read full review
    Return on Investment
    NVIDIA
    • Efficient way to complete tasks
    • De-facto GPUs standard
    Incentivized
    Read full review
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