Abstract
In the current digital landscape, handling the vast and varied data requires customized processing and storage methods. Within a system, data within the same domain often uses different models, underscoring the importance of multi-model databases that can accommodate diverse data structures. These databases typically differentiate between primary and secondary models, necessitating clear data schema mappings. While the traditional relational data model persists as a well-studied and widely used approach, graph data models are gaining traction in areas like social networks, recommendation systems, and transportation networks. This article offers insights into the pros and cons of graph databases, providing a clearer understanding of their role in modern data management. Keywords: Graph databases, Database architecture, Graph-based data management, Multi-model DBMS, Relational databases.
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