Compare the Top Business Rules Management Systems (BRMS) that integrate with PostgreSQL as of December 2025

This a list of Business Rules Management Systems (BRMS) that integrate with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.

What are Business Rules Management Systems (BRMS) for PostgreSQL?

Business Rules Management Systems (BRMS) are software platforms that help organizations define, manage, and automate business rules and decision-making processes. These systems enable businesses to create rule-based workflows that govern processes such as pricing, compliance, risk management, and customer interactions. BRMS platforms provide tools for designing, testing, and deploying rules, ensuring consistency and flexibility in decision-making. They allow for faster responses to changing business conditions by enabling non-technical users to modify and update rules without needing to change underlying code. BRMS are widely used in industries like finance, insurance, and healthcare to improve efficiency, reduce errors, and ensure compliance. Compare and read user reviews of the best Business Rules Management Systems (BRMS) for PostgreSQL currently available using the table below. This list is updated regularly.

  • 1
    Higson

    Higson

    Decerto

    Higson is a high-performance business rules engine designed to help organizations manage complex decision logic and automate rule-based processes with ultra-fast execution and an intuitive, business-user-friendly interface. It separates business rules from application code so users can configure products, pricing, and decision logic through a web-based Studio without deep programming knowledge, reducing reliance on developers and accelerating time to market. Higson offers advanced version control, a clear tree-structured rule editor, and tools like tester and mass tester to validate changes before publishing. It supports visual rule modeling, AI model integration, decision tables, functions written in Groovy, and import/export via Excel, and it can integrate with existing systems through REST or Java APIs while storing configurations in popular SQL databases. The runtime engine is optimized for real-time decisioning, handling thousands of API calls per second and large datasets.
    Starting Price: $10,000 per year
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