Rulebricks vs SAS Business Rules Manager

Rulebricks is a visual decision-management platform for automating business processes. Teams can model decisions through a no-code interface and publish API endpoints, so domain experts and process owners can update rules without writing code. Excel models can be imported to generate rules, while multi-rule workflows and a test management UI and API support orchestration and pre-deployment checks. What-if backtests help assess the business impact of changing conditions. Decision tables can also power embeddable calculators, with application branding and embedding options. Listed native integrations include Salesforce, Excel, Zapier, and PostgreSQL, and the maker says it can connect wherever an API can be called. Developer tools include a JavaScript component and programmatic controls for users, tenants, rules, and tests. Deployment options include major cloud providers, on-premises, and air-gapped environments, alongside isolated tenants, single sign-on, and fine-grained access control. The free Design plan allows up to 10 rules and flows, 1,000 monthly executions, and five team members.

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.