Graph Databases

Graph databases store data as nodes and edges in a graph, and are designed to handle complex relationships and data. Examples include Neo4j and OrientDB.

Scaling and Performance Optimization in Graph Databases

Graph databases are becoming increasingly popular in a wide range of applications, such as social networks, recommendation systems, and fraud detection. However, as the volume of data and the number of concurrent users grow, the performance and scalability of graph databases become a critical concern. In this article, we will discuss various techniques for scaling …