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SAS Real-Time Decision Manager VS Higson.io

Compare SAS Real-Time Decision Manager VS Higson.io and see what are their differences

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SAS Real-Time Decision Manager logo SAS Real-Time Decision Manager

Find documentation, support and training information for SAS Real-Time Decision Manager.

Higson.io logo Higson.io

Hyperon is a BRMS, that was created with very large decisions and hyper-performance in mind. It stands out with the concept of the business domain which organizes the whole configuration in easy to manage way.
  • SAS Real-Time Decision Manager Landing page
    Landing page //
    2023-10-04
  • Higson.io Landing page
    Landing page //
    2022-02-05

It’s a hyper-efficient tool for managing business rules that enables business experts to fine-tune these rules in run-time without relying on IT support. Business rules can be quickly created or updated, without having to go through lengthy and expensive development cycles. During configuration in Hyperon, a developer may check how a user’s unpublished session will influence the app’s behavior by using dev_mode. Hyperon is compatible with any tech stack, including Java, .Net, and Python.

SAS Real-Time Decision Manager features and specs

No features have been listed yet.

Higson.io features and specs

  • Structure: Intuitive structure tree structure for your rules. Our structure corresponds with your business, so it’s super easy to navigate.
  • Performance: According to benchmark tests Hyperon proved to be 62 times faster than the leading open source business rules management system (BRMS)
  • Publish changes without deployment: The application using Hyperon is updated without the need for releasing a new version of the application.
  • Tester: Hyperon Studio provides testing module for parameters, functions and domain elements. It means that every change done by a user may be verified before publishing.
  • Versionning: You can connect multiple rules and create a coherent configuration of your rule set.
  • Decision table : The easy tounderstand matrix that matches input data with a decision. They look very trivial; however you can achieve complex configurations using them, which is their power - everybody can understand how to model decisions using them.
  • Functions: In some cases, you need to write more complex logic. In Hyperon, you can use Groovy language - very simple for simple logic, yet powerful. So powerful that You can ask your IT department for help implementing complex things that require loops and other complex techniques.

SAS Real-Time Decision Manager videos

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Higson.io videos

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Hyperon quick overview - business rules management system

Category Popularity

0-100% (relative to SAS Real-Time Decision Manager and Higson.io)

SAS Real-Time Decision Manager

Higson.io

Data Dashboard
20 20%
Data Dashboard
80% 80
Business & Commerce
14 14%
Business & Commerce
86% 86
Personalization
15 15%
Personalization
85% 85
Decision Support
100 100%
Decision Support
0% 0

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What are some alternatives?

When comparing SAS Real-Time Decision Manager and Higson.io, you can also consider the following products

Decisimo - Decisimo - decision intelligence services and decisioning system. An engine for deployment of rule based and machine learning driven decisioning

DecisionRules.io - Business rule engine that lets you create and deploy business rules, while all your rules run in a secure and scalable cloud. Unlike other rule engines, you can create your first rule in 5 minutes and make 100k decisions in a minute via API.

Experian PowerCurve - Experian PowerCurve is a customer lifecycle management and decision automation platform purpose-built for finance and marketing leaders.

Drools - Drools introduces the Business Logic integration Platform which provides a unified and integrated platform for Rules, Workflow and Event Processing.

OpenRules - OpenRules is a Business Rules and Decision Management platform, offering a solution for building, deploying, executing, and monitoring Business Rules and Decision trees.

FICO Blaze Advisor - FICO Blaze Advisor is a decision rules management system, maximizing control over high-volume operational decisions.

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