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Databases Intermediate

What is Graph Database?

A database that uses graph structures with nodes, edges, and properties to store and query highly connected data.

Graph databases excel at storing and traversing relationships between entities. Unlike relational databases where joins become expensive with depth, graph databases traverse connections in constant time per hop. Neo4j is the most popular graph database, using the Cypher query language. Use cases include social networks, recommendation engines, fraud detection, knowledge graphs, and network topology. PostgreSQL also supports graph-like queries through recursive CTEs and the Apache AGE extension. Graph databases shine when the relationships between data are as important as the data itself.

Related Terms

Connection String
A formatted string containing all parameters needed to establish a connection to a database server.
EXPLAIN Plan
A database command that shows how the query planner will execute a SQL query, revealing join methods, scan types, and estimated costs.
CTE (Common Table Expression)
A temporary named result set defined within a SQL statement using the WITH clause, improving query readability and enabling recursion.
Normalization
The process of organizing database tables to reduce data redundancy and improve data integrity.
Stored Procedure
A precompiled collection of SQL statements stored in the database that can be executed as a single unit.
Redis
An open-source, in-memory data store used as a database, cache, message broker, and queue with sub-millisecond response times.
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