Effective data model selection for infological entities in multimodel database systems

The article addresses the problem of selecting effective data models for infological entities in the context of designing multimodel databases. The focus is placed on the need for a systematic approach when modeling heterogeneous entities whose structure and behavior require different forms of representation. The study analyzes the characteristics of three widely used models – relational, graph, and multidimensional – in terms of their applicability to various types of infological entities. Key criteria influencing model selection are described, including data structure, interconnectivity, query patterns, mutability, scalability, and consistency requirements. A decision-making algorithm is proposed, based on analyzing entity characteristics and the system's non-functional requirements. Particular attention is given to the advantages and challenges of multimodel solutions, as well as principles of coordinating different models within a unified architectural framework. The work aims to provide a methodological foundation for rational model selection and for enhancing the adaptability and sustainability of information systems.