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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

Trigger
A database object that automatically executes a specified function when certain events (INSERT, UPDATE, DELETE) occur on a table.
Connection Pool
A cache of database connections that can be reused, avoiding the overhead of creating new connections for each request.
Window Function
An SQL function that performs calculations across a set of rows related to the current row without collapsing the result set.
Partitioning
A technique of dividing large database tables into smaller, more manageable segments while maintaining a single logical table.
EXPLAIN Plan
A database command that shows how the query planner will execute a SQL query, revealing join methods, scan types, and estimated costs.
Write-Ahead Log (WAL)
A technique where changes are first written to a log before being applied to the database, ensuring crash recovery and data integrity.
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