Graph databases

Graph databases organize data as interconnected nodes (entities) and edges (relationships), effectively capturing complex, real-world connections like social networks or recommendation systems. Unlike traditional databases that store data in tables, graph databases focus on how data points relate, enabling fast queries on relationships and patterns. This makes them ideal for systems needing dynamic, interconnected data analysis, such as fraud detection, social media analysis, or knowledge graphs. Their structure allows for intuitive modeling of complex relationships, providing insights that are difficult to extract with other database types.