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This paper shows the benefits of separating the user interface, data layer, and analysis engine in visualization tools, highlighting improved modularity.
Modern visualization tools process massive volumes of complex, heterogeneous data across engineering, scientific research, and industrial domains. Designing such tools poses significant challenges in scalability, maintainability, and extensibility. This paper advocates a disciplined Separation of Concerns (SoC) approach, decomposing visualization systems into three distinct layers: the User Interface (UI) Layer, the Data Layer, and the Analysis Engine. We discuss the roles and responsibilities of each layer, explore common architectural patterns, and examine how this separation improves modularity, facilitates parallel development, and enables integration with modern deployment models such as cloud computing and microservices. Finally, we survey challenges and best practices, illustrating how SoC contributes to building scalable, maintainable, and adaptable visualization tools.
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Niharika Shrivastava (2025) studied this question.
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