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IBM Machine Learning for z/OS vs. Iguazio

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Machine Learning for z/OS

    Score10 out of 10
    N/AIBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.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
    IBM Machine Learning for z/OSIguazio
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Machine Learning for z/OSIguazio
    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
    IBM Machine Learning for z/OSIguazio
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    No answers on this topic
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    No answers on this topic
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Machine Learning for z/OSIguazio
    Likelihood to Recommend
    10.0
    (2 ratings)
    10.0
    (2 ratings)
    Support Rating
    4.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM Machine Learning for z/OSIguazio
    Likelihood to Recommend
    IBM
    IBM Watson Machine Learning is an AI-based scalable self-learning model for any type of business. It can be used to help any company automate repetitive tasks, predict future trends, and make data-driven decisions. I used it to predict stock prices based on certain variables. It works well, cost me nothing, and gives me the ability to create my own AI-based models that I can use for any purpose.
    Incentivized
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    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
    IBM
    • Good machine learning tool
    • Easy integration
    Incentivized
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    McKinsey & Company
    • Dynamic scaling capacity.
    • Central Metadata management.
    • Data ingestion and preparation.
    Incentivized
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    Cons
    IBM
    • Proper usage of REST API documentation is missing.
    • Not localization friendly, cannot support regional or local language documents.
    Incentivized
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    McKinsey & Company
    • The user interface is not so much user-friendly, and easy-to-use, navigate.
    Incentivized
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    Support Rating
    IBM
    IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
    Incentivized
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    McKinsey & Company
    No answers on this topic
    Alternatives Considered
    IBM
    We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
    Incentivized
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    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
    IBM
    • Create secure business environment.
    • Save upto 90% of manual labor.
    • Improve my sales and marketing ROI.
    Incentivized
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    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
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