Porównanie baz grafowych i relacyjnych

The comparison of graph and relational databases is crucial in the context of growing needs for analyzing large datasets and complex relationships between them. The aim of this article is to highlight the differences, similarities, and unique features of relational and graph databases. A comparative analysis was conducted, focusing on data structure, storage models, query performance, and resource consumption. The article also discusses practical applications of both types of databases, identifying scenarios where each can be most effective. A literature review and experimental performance studies of graph and relational databases were utilized. The analysis indicates that graph databases outperform relational databases in the context of complex relationship analysis, while relational databases remain indispensable in traditional business applications. Key conclusions include recommendations for automating migration processes, optimizing graph query performance, and managing system resources. Suggested future research directions include exploring new applications of graph databases and optimizing energy consumption in large data centers.