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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

EXPLAIN ANALYZE
A PostgreSQL command that shows the execution plan of a query along with actual runtime statistics for performance tuning.
Materialized View
A database object that stores the precomputed result of a query, offering faster reads at the cost of periodic refresh.
Row-Level Security (RLS)
A database feature that restricts which rows a user can access in a table based on security policies.
Trigger
A database object that automatically executes a specified function when certain events (INSERT, UPDATE, DELETE) occur on a table.
Database Sharding
A horizontal scaling strategy that distributes data across multiple database servers based on a partition key.
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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