Higson vs SAS Business Rules Manager

Higson is a business rules engine for managing product logic, pricing and decisions without coding, with a primary focus on insurance. It supports product configuration, underwriting and claims processing. Higson Studio lets business users edit rules through diagrams, decision tables and a tree structure, then run regression and mass tests using data imported from Excel. Version 4.3 includes a beta assistant that generates Groovy or Python logic from plain-language descriptions. Connections use REST and Java APIs, and supported SQL databases include Oracle, Microsoft SQL Server, PostgreSQL and MySQL. Rule snapshots can be exported to files and imported into other environments. Higson states that it is CREST certified and provides auditability, versioning and permissions scoped by business domain. Enterprise deployment is on-premise or in a private cloud; AWS Marketplace access is also offered. Enterprise costs $10,000 a year as a fixed annual fee, with no limit on users, rules or non-production environments. The Runtime AWS Marketplace listing offers a 7-day free trial that converts to a paid subscription unless canceled.

SAS Business Rules Manager is paid, on-premises software for creating and working with business rules. It provides visual rule authoring for defining logic and decision tables for organizing rule-based decisions. Rule testing tools are included, allowing teams to test rules as part of the workflow. The product supports both listed execution access modes, so its rules can be reached through either of those modes. Deployment is on-premises, placing the software within the organization’s own environment rather than a listed cloud deployment. SAS, the maker, was founded in 1976 and is headquartered in Cary, North Carolina, USA. Pricing is available on request, and no free plan is listed. The stated capabilities are concentrated on business-rule authoring, decision-table organization, testing, execution, and on-premises operation. Teams evaluating it can focus on whether those rule-development and deployment characteristics match their environment, then request commercial details from SAS.