Deterministic Execution Models for Low-Code Platforms Under Enterprise Transactional Load

Abstract

Low-code platforms have rapidly evolved from simple application development tools to critical components of enterprise transactional systems, yet their reliance on asynchronous and event-driven execution models introduces challenges in maintaining consistency and predictability under high-load conditions. Existing literature highlights scalability and flexibility advantages of such models but reveals limitations in handling tightly coupled transactional workflows requiring strict ordering guarantees. This study addresses this gap by proposing a deterministic execution model tailored for low-code environments, incorporating formal transaction ordering, controlled scheduling, and execution constraint mechanisms to ensure reproducible system behavior. The methodology includes simulation of enterprise-scale workloads and evaluation using key performance metrics such as latency, throughput, execution consistency, and failure rates. Results demonstrate that the deterministic model significantly stabilizes latency, maintains consistent throughput, reduces execution anomalies, and ensures deterministic ordering across repeated runs, outperforming traditional asynchronous approaches in high-integrity scenarios. The findings establish deterministic execution as a robust foundation for improving reliability and auditability in enterprise low-code systems while maintaining competitive performance. This work provides a pathway toward hybrid and distributed deterministic frameworks for next-generation enterprise application platforms.