Graph Database

A graph database is a type of database designed to store and query data using graph structures, which consist of nodes (entities) and edges (relationships). Graph databases are optimized for handling complex, interconnected data. This makes them ideal for use cases like social networks, recommendation systems, fraud detection, and knowledge graphs, where understanding the relationships between data points is as important as the data itself.

Getting Started with Memgraph

Memgraph is an in-memory graph database built for real-time analytics on connected data. It uses the Cypher query language and supports fast, complex queries, making it ideal for applications like fraud detection, recommendation engines, and network analysis.