Graafibaasid

Graafibaasid, often translated as "graph databases," are a type of NoSQL database that uses graph structures for data representation. They store data in nodes (entities) and edges (relationships) that connect these nodes. This structure is particularly well-suited for representing and querying highly interconnected data, where the relationships between data points are as important as the data itself.

Unlike traditional relational databases that use tables, rows, and columns, graph databases are optimized for traversing relationships. This makes them highly efficient for tasks such as recommendation engines, social network analysis, fraud detection, and network infrastructure management. Queries in graph databases often involve pattern matching and traversing paths through the graph.

Popular graph database management systems include Neo4j, Amazon Neptune, and ArangoDB. These systems typically employ their own query languages, such as Cypher for Neo4j, to allow users to define and retrieve complex relationships within the data. The flexibility and performance advantages for connected data have led to their increasing adoption in various industries.