The debate around traditional relational databases (RDBMS) has gained momentum, with many questioning their suitability for modern applications. The simplicity, robustness, flexibility, performance, scalability, and compatibility of RDBMS have been questioned, particularly when it comes to scalability, which is becoming increasingly critical in many applications. Alternatives to RDBMS, such as key/value databases and schema-less databases, are gaining attention, with some companies opting to build their own graph databases due to the advantages of using this technology for highly scalable applications. Graph databases offer built-in support for representing relationships between entities, which is fundamental for data modeling, and companies like Directed Edge have developed in-house solutions that leverage this feature. Despite the growing interest in graph databases, some products, such as Neo4j, may not meet performance expectations, highlighting the need for further research and development in this area.