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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.
Data Warehouse
A centralized repository optimized for analytical queries that integrates data from multiple operational sources.
EXPLAIN ANALYZE
A PostgreSQL command that shows the execution plan of a query along with actual runtime statistics for performance tuning.
Database Proxy
A middleware server that sits between applications and databases, providing connection pooling, load balancing, and query routing.
Row-Level Security (RLS)
A database feature that restricts which rows a user can access in a table based on security policies.
Partitioning
A technique of dividing large database tables into smaller, more manageable segments while maintaining a single logical table.
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