Overview
Higson is a tool for managing business rules: the instructions that tell your enterprise software how your company runs, like which customers are eligible for which products, or how to dynamically price your services.
Higson is a hyper-efficient tool for managing business rules that enables business experts to fine-tune these rules at run-time without relying on IT support.
This makes it easy to respond to rapidly changing circumstances without having to wait for modifications in the software's code.
Business rules can be quickly created or updated without having to go through lengthy and expensive development cycles.
The configuration is organized in a tree of business objects with attributes. Each attribute represents a decision to be made. Higson is compatible with any tech stack, including Java, .Net, and Python.
Learn all about Higson's features at https://www.higson.io/lp/business-rules-engineÂ
Highlights
- Ultimate performance: The fastest rules engine on the market
- User-friendly: Changes are made using a web-based graphical user interface
- Excel Import/Export: Business users can work in Excel
Details
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Dimension | Cost/hour |
|---|---|
c4.large Recommended | $1.25 |
t2.micro AWS Free Tier | $0.625 |
t3.micro AWS Free Tier | $1.25 |
c5a.24xlarge | $60.00 |
m5zn.3xlarge | $7.50 |
t3.medium | $1.25 |
t2.nano | $0.625 |
m5dn.16xlarge | $40.00 |
t2.2xlarge | $5.00 |
m5d.4xlarge | $10.00 |
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For refunds contact info@higson.ioÂ
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
CHANGES:
- Introduced AI Integration - Higson now supports models in the Open Neural Network Exchange (ONNX) format. This integration enables seamless execution of machine learning models directly within business rules, ensuring faster inference, full auditability, and no need for external ML services.
- Added Flows - A brand-new feature for visual process orchestration. Flows allow users to design, monitor, and optimize decision and process flows within Higson Studio, making complex business logic easier to visualize and maintain.
- Refactor of roles & grants - Refactoring roles and permissions simplifies user access configuration, improves visibility of dependencies, and speeds up security configuration.
- Enhanced Studio performance - Significant improvements to Higson Studios data handling deliver a smoother user experience.
- Refined Light Mode - The light theme has been visually refined for better contrast, readability, and overall usability. The updated color palette improves focus during long work sessions and provides a more comfortable experience in bright environments.
- Security and compliance updates - Updated libraries enhance the overall security posture of the system.
Additional details
Usage instructions
Before deploy:
A Postgres database with Higson-related tables is needed. They are automatically created during Higson Studio startup. Find information about starting Higson Studio here: https://www.higson.io/tutorial/installing-higson-studio-through-awsÂ
detailed instructions on how to run Higson Runtime in AWS can be found here: https://www.higson.io/tutorial/installing-higson-runtime-through-awsÂ
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