Event-Driven Architecture (EDA) is a software design pattern where components interact by producing and responding to events, allowing for a loosely coupled system. Components operate independently and react to events that signify changes in the system's state, such as user actions or system updates. This architecture is highly scalable and flexible, making it ideal for real-time systems, microservices, and applications requiring high responsiveness to changes.
Data-Driven Architecture is a design approach where the structure and behavior of a system are primarily governed by data. In this architecture, decisions and actions are based on the analysis, flow, and management of data rather than hard-coded logic or predefined workflows. Systems built on data-driven architecture treat data as the central component, enabling dynamic responses and adaptability based on real-time or historical data. It's commonly used in applications where insights, automation, or decision-making are directly derived from data, such as in machine learning systems, recommendation engines, or business intelligence platforms.