Getting Started

Comparisons

Mongster keeps the necessary parts without the extra layers

Mongster is not trying to replace every MongoDB library. It tries to keep the useful parts of an ODM without recreating the whole database experience.

Tool	What it optimizes for	Tradeoff
Mongster	TypeScript-first schemas, runtime validation, typed queries close to MongoDB	Smaller surface area than Mongoose, fewer high-level abstractions
Mongoose	Mature document model, plugins, middleware, and virtuals	Heavier runtime model and a larger JavaScript-first API
Papr	Driver-like usage with JSON Schema validation	Less built-in guidance around refs, hooks, and typed aggregation
Prisma + MongoDB	Generated client from a separate schema file	MongoDB behavior is mediated through Prisma's own model
Typegoose	Class and decorator style on top of Mongoose	Still carries Mongoose concepts and decorator requirements

What Mongster keeps

One schema drives validation, types, and indexes.
Query builders stay close to MongoDB filters and updates.
Refs are explicit with M.objectId().ref(() => Model).
Transactions use native sessions with a typed ctx.use(Model) helper.
Aggregation can stay typed for common stages instead of dropping to raw documents immediately.

What Mongster leaves out

No document class layer with instance methods and virtuals.
No large plugin system that reshapes behavior at runtime.
No separate schema language or code generation step.
No attempt to hide MongoDB concepts behind relational language.

Feature parity

Feature	Mongster	Mongoose	Typegoose	Prisma	Papr
Schema Builder	✅ Yes	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Typed query builder	✅ Yes	⚠️ Partial	✅ Yes	✅ Yes	✅ Yes
Typed populate	✅ Yes	❌ No	✅ Yes	✅ Yes	❌ No
Typed aggregation	⚠️ Partial	❌ No	❌ No	✅ Yes	❌ No
Hooks	✅ Yes	✅ Yes	✅ Yes	⚠️ Partial	✅ Yes
Indexing	✅ Yes	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Multiple DB connections	✅ Yes	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Transactions	✅ Yes	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Runtime validation	✅ Yes	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Type inference from schema	✅ Yes	❌ No	✅ Yes	✅ Yes	✅ Yes
Embedded / sub-documents	✅ Yes	✅ Yes	✅ Yes	✅ Yes	✅ Yes
Virtuals	❌ No	✅ Yes	✅ Yes	❌ No	❌ No
Plugin system	❌ No	✅ Yes	✅ Yes	❌ No	❌ No
Lean queries	✅ Yes	✅ Yes (opt-in)	✅ Yes (opt-in)	⚠️ Partial	❌ No
Change streams	⚠️ Partial	✅ Yes	✅ Yes	❌ No	✅ Yes

A good fit

You already know the MongoDB driver and want better types around it.
Your team writes TypeScript first and wants runtime validation from the same schema.
You want ODM conveniences, but not a second mental model for querying MongoDB.

Probably not the best fit

You rely heavily on Mongoose plugins, virtuals, or discriminators.
You want a database-agnostic ORM workflow.
Your team prefers decorators or class-based model definitions over plain schema builders.

Why Mongster ?

Motivation behind a type-safe MongoDB ODM

Benchmarks

Type safety should not cost runtime performance

On this page

What Mongster keeps What Mongster leaves out Feature parity A good fit Probably not the best fit