RDBMS & Graphs: Why Relational Databases Aren’t Always Enough

Relational databases have been a cornerstone of software applications since the 80s, offering robust data structures and organization capabilities. However, with today's increasingly complex and connected data requirements, relational databases struggle to capture rich relationship information and adapt to frequent changes, leading to performance issues and high maintenance costs. In contrast, graph databases are designed to store and organize connected data, providing a more agile and efficient solution for applications that require insights into relationships between data elements. By exploring the limitations of relational databases in handling connected data, this blog series aims to introduce developers with RDBMS experience to the benefits of graph databases and provide guidance on when and how to use them effectively.

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