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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    InRule

    Score10 out of 10
    N/AInRule Technology in Chicago, Illinois offers business rules management software.N/A

    MLReef

    Score9.1 out of 10
    Enterprise companies (1,001+ employees)
    MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex data tasks with seamless involvable domain experts - Higher acceptance of deploye models ad development is a joint task Q: What is Distributed ML…N/A
    Pricing
    InRuleMLReef
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    InRuleMLReef
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Best Alternatives
    InRuleMLReef
    Small Businesses
    No answers on this topic
    TensorFlow
    Score7.6 out of 10
    Medium-sized Companies
    No answers on this topic
    Google Cloud AI
    Score8.7 out of 10
    Enterprises
    No answers on this topic
    Google Cloud AI
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    InRuleMLReef
    Likelihood to Recommend
    8.8
    (3 ratings)
    9.1
    (1 ratings)
    Support Rating
    9.1
    (3 ratings)
    -
    (0 ratings)
    User Testimonials
    InRuleMLReef
    Likelihood to Recommend
    InRule Technology
    With InRule, we are expecting to be able to move business logic out of the developer domain and back into the business domain. Business logic is currently captured in UI (data validation) and middleware layers. These are areas in any application where leveraging InRule's capabilities allow for changes in business logic to be made with little or no IT involvement.
    Read full review
    MLReef
    Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
    Read full review
    Pros
    InRule Technology
    • It is easy to tweak business rule parameters.
    • Create new logic with low barriers.
    Incentivized
    Read full review
    MLReef
    • Helps us to take on more client projects
    • Can be used by data analysts as well as casual users
    Read full review
    Cons
    InRule Technology
    • Needs more debugging capabilities.
    Read full review
    MLReef
    • Out of the box support for major cloud vendors
    Read full review
    Support Rating
    InRule Technology
    InRule's Support Portal provides a "one stop shop" for submitting support questions, accessing training information, managing licenses, and getting updates on InRule's roadmap.
    Read full review
    MLReef
    No answers on this topic
    Alternatives Considered
    InRule Technology
    InRule offers a more organized software design, a well-structured framework in design, and is easier for new users to start contributing given documentation. Drools is spreadsheet-based and lacking the capability to do really advanced pseudo-programming.
    Incentivized
    Read full review
    MLReef
    No answers on this topic
    Return on Investment
    InRule Technology
    • It is always reliable and efficient.
    • Has won customers over.
    Read full review
    MLReef
    • We can handle 4 to 6 times more projects at the same time with our team
    • We stay engaged with our customers well beyond the project duration
    Read full review
    ScreenShots

    MLReef Screenshots

    Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elementsScreenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)Screenshot of Full version control and transparent experiment trackingScreenshot of Repositories to manage your scripts (SCM) and data (pipelines)Screenshot of Manage your team, groups and projects with access rights and granular permissions