Nected vs SAS Business Rules Manager

Nected is a cloud-native AI decisioning platform and rule engine for designing business rules, workflows, and decisions. Its visual authoring supports Simple Rules, Decision Tables, Decision Trees, Rule Sets, and Rule Chains. Workflows can use code, database, and REST API nodes alongside Loop, Delay, and Switch actions. Rules and workflows can be triggered through an API, webhook, or scheduler. Lifecycle tools include versioning, Git sync, rollback, and staging environments. Nected also describes an AI Copilot, AI agents for tasks such as document extraction and classification, and connections to OpenAI, Anthropic, Gemini, Vertex AI, and custom models. Deployment choices include public cloud, private cloud, and self-hosted setups, including on-premises or air-gapped deployment. The public-cloud Free Tier lists 5k monthly invocations; the self-hosted Free Tier lists 1k daily invocations. Start-Ups costs $399 a month and includes 100k monthly invocations; Growth costs $899 a month and includes 1 million monthly invocations. Nected says product, operations, and compliance teams can author rules in its visual editor, with engineering handling integration.

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.