InRule vs. MLReef

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
InRule
Score 10.0 out of 10
N/A
InRule Technology in Chicago, Illinois offers business rules management software.N/A
MLReef
Score 9.1 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
Community Pulse
InRuleMLReef
Best Alternatives
InRuleMLReef
Small Businesses

No answers on this topic

InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Medium-sized Companies
IBM Cloud Pak for Business Automation
IBM Cloud Pak for Business Automation
Score 9.9 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
IBM Cloud Pak for Business Automation
IBM Cloud Pak for Business Automation
Score 9.9 out of 10
Posit
Posit
Score 10.0 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.
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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
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Pros
InRule Technology
  • It is easy to tweak business rule parameters.
  • Create new logic with low barriers.
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MLReef
  • Helps us to take on more client projects
  • Can be used by data analysts as well as casual users
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Cons
InRule Technology
  • Needs more debugging capabilities.
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MLReef
  • Out of the box support for major cloud vendors
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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.
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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.
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MLReef
No answers on this topic
Return on Investment
InRule Technology
  • It is always reliable and efficient.
  • Has won customers over.
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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
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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