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Iguazio vs. Wolfram Data Science Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Iguazio

    Score10 out of 10
    N/AIguazio, a McKinsey company, offers the Iguazio MLOps Platform used to develop and manage AI applications at scale. It provides data science, data engineering and DevOps teams with a platform to deploy operational ML pipelines.N/A

    Wolfram Data Science Platform

    Score9 out of 10
    N/AWolfram Data Science Platform enabling a full spectrum of data science analysis and visualization and automatically generating rich interactive reports.N/A
    Pricing
    IguazioWolfram Data Science Platform
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IguazioWolfram Data Science Platform
    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
    Best Alternatives
    IguazioWolfram Data Science Platform
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    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
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    Anaconda
    Score8.8 out of 10
    Enterprises
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    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IguazioWolfram Data Science Platform
    Likelihood to Recommend
    10.0
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    IguazioWolfram Data Science Platform
    Likelihood to Recommend
    McKinsey & Company
    With Iguazio we are able to scale up our organisations AI infrastructure which us vital to meet business goals and accelerate time-to-time. We are also able to manage our ML pipeline end-to-end using a full-stack,user-friendly environment, feature-rich integrated feature store and powerful data transformation and real-time feature engineering capabilities.
    Incentivized
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    Wolfram
    No answers on this topic
    Pros
    McKinsey & Company
    • Dynamic scaling capacity.
    • Central Metadata management.
    • Data ingestion and preparation.
    Incentivized
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    Wolfram
    No answers on this topic
    Cons
    McKinsey & Company
    • The user interface is not so much user-friendly, and easy-to-use, navigate.
    Incentivized
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    Wolfram
    No answers on this topic
    Alternatives Considered
    McKinsey & Company
    Execution, experiment, data, model tracking, and automated deployment is done automatically through the MLRun serverless runtime engine. MLRun maintains a project hierarchy with strict membership and cross-team collaboration. End-to-end data governance is fully solidified and managed with authentication and identity management. Customers securely share data by providing access directly to it and not to copies.
    Incentivized
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    Wolfram
    No answers on this topic
    Return on Investment
    McKinsey & Company
    • Is a fully integrated solution with a user-friendly portal.
    • Manage our ML pipeline end-to-end using Full-stack,user friendly environment.
    • Iguazio enables our teams to manage all artefacts throughout their lifecycle.
    • Enhance team work and collaboration in our teams.
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
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