In the era of big data, traditional relational databases often struggle to efficiently manage complex, interconnected information. This is where graph databases come into play, offering a dynamic and intuitive way to store, retrieve, and analyze data. Unlike relational databases that rely on tables and rows, graph databases utilize nodes, edges, and properties to represent data and their interconnections, making them ideal for applications where relationships are as important as the data...

In the era of big data, traditional relational databases often struggle to efficiently manage complex, interconnected information. This is where graph databases come into play, offering a dynamic and intuitive way to store, retrieve, and analyze data. Unlike relational databases that rely on tables and rows, graph databases utilize nodes, edges, and properties to represent data and their interconnections, making them ideal for applications where relationships are as important as the data...