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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hopsworks

    N/AN/AHopsworks, from Logical Clocks, enables users to connect to a data warehouse and data lake, to transform data into features to train models and make predictions. It is presented as a full AI lifecycle for MLOps, built around its Feature Store. The Hopsworks Feature Store is a dual-database platform that includes a low-latency database, for serving the most recent feature data for an entity (e.g. customer), and a scalable database, for storing and accessing large volumes of historical feature…N/A

    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
    Pricing
    HopsworksIguazio
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    HopsworksIguazio
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details
    More Pricing Information
    User Ratings
    HopsworksIguazio
    Likelihood to Recommend
    -
    (0 ratings)
    10.0
    (2 ratings)
    User Testimonials
    HopsworksIguazio
    Likelihood to Recommend
    Logical Clocks
    No answers on this topic
    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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    Pros
    Logical Clocks
    No answers on this topic
    McKinsey & Company
    • Dynamic scaling capacity.
    • Central Metadata management.
    • Data ingestion and preparation.
    Incentivized
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    Cons
    Logical Clocks
    No answers on this topic
    McKinsey & Company
    • The user interface is not so much user-friendly, and easy-to-use, navigate.
    Incentivized
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    Alternatives Considered
    Logical Clocks
    No answers on this topic
    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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    Return on Investment
    Logical Clocks
    No answers on this topic
    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
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