A aq type safe orm takes the guesswork out of talking to your database from Lua, and AQ ORM brings that safety to FiveM resource development with a lightweight, dependency free layer. Instead of hand writing raw queries and hoping the column names line up, you describe your models once and let the library build correct, escaped statements for you.
This tool is aimed at developers who are tired of scattered SQL strings, silent typos and injection risks across their scripts. It focuses on a small, readable API that fits naturally alongside oxmysql style drivers, so you can adopt it gradually in an existing project without rewriting everything at once.
Why choose a aq type safe orm
- Model definitions describe tables and columns clearly
- Query builder methods replace error prone raw SQL
- Values are escaped to reduce injection risk
- Consistent results make code easier to read
- Lightweight design keeps overhead minimal
What developers get
- Chainable select, insert, update and delete helpers
- Clean async patterns that avoid callback nesting
- Reusable models shared across resources
- Predictable errors instead of silent failures
- Documentation and examples to get started
Because the library stays close to plain Lua, the learning curve is short and the generated queries remain transparent, so you can always inspect exactly what will run against your database. That transparency matters on production servers where a single malformed statement can stall a resource or corrupt player data during peak hours.
Adopting a structured data layer also pays off as your project grows, since shared models keep field names consistent between jobs, inventories and economy scripts. New contributors can read a model file and understand the schema instantly, which cuts onboarding time and reduces the bugs that come from copy pasted query strings.
Cleaner data access also makes your resources easier to maintain over the long run, because the query logic lives in one predictable place instead of being scattered through event handlers and callbacks. When your schema changes, you update the model rather than hunting for every raw string that referenced a column, which dramatically reduces the chance of a missed edit breaking production. That discipline pays off most on large servers with many interconnected systems, where a single silent database error can cascade into lost inventories, broken jobs and frustrated players during your busiest hours.
Explore more developer tooling in our admin and utility scripts collection, and if you are building gameplay on top of it, browse ready made systems in the jobs and business scripts collection to see the ORM in a real context.
