Web Dev//SQL//relational database

Databases organized in tables with rows and columns, where relationships between tables are defined via foreign keys and queried via JOINs. The "relational" part means data is structured in relations (tables) and the language to query them is SQL.

Databases organized in tables with rows and columns, where relationships between tables are defined via foreign keys and queried via JOINs. The "relational" part means data is structured in relations (tables) and the language to query them is SQL.

Designed for multi-user concurrency — multiple clients reading and writing simultaneously without data corruption

Server-client architecture: a database process runs 24/7, clients connect over a network

Contrast with SQLite: SQLite is a single file, no server, no concurrent writes. Relational DBs like PostgreSQL and MySQL are built for servers with many users hitting the same data

The heavier the workload and the more users, the more a proper relational DB pays off — they're designed to handle the concurrency that SQLite can't