A class-based ES6 ODM for MongoDB and NeDB, providing a familiar OOP interface with native Promises.
Camo is an Object-Document Mapper (ODM) for MongoDB-like databases that uses ES6 classes for schema definition. It simplifies database interactions by providing a clean, object-oriented API and supports multiple backends like MongoDB and NeDB, allowing development without a full MongoDB instance. The library includes built-in Promises, schema validation, embedded documents, and hooks to streamline database operations.
JavaScript developers transitioning from class-based languages like Java, or beginners seeking an OOP-friendly interface for MongoDB. It's also suitable for projects needing lightweight database solutions with NeDB for in-memory or file-based storage.
Developers choose Camo for its ES6 class-based approach, which offers a familiar OOP interface and reduces callback hell with native Promise support. Its unique selling point is backend flexibility, enabling use with MongoDB or NeDB for development without a full database server, plus a lightweight wrapper that maintains performance.
A class-based ES6 ODM for Mongo-like databases.
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Uses ES6 classes for schema definition, making it intuitive for developers from object-oriented backgrounds and simplifying code structure with familiar OOP patterns.
Supports MongoDB and NeDB, allowing development without a full MongoDB instance and enabling in-memory storage for lightweight or browser-based projects.
All database operations return native Promises, eliminating callback hell and streamlining asynchronous code, as highlighted in the README's focus on modern ES6 features.
Enforces types, defaults, min/max values, choices, regex matches, and custom validators directly in the schema, providing strong data integrity without extra libraries.
Hooks for delete operations only work with .delete() on document instances, not with .deleteOne() or .deleteMany(), as admitted in the README, limiting consistency in data management.
The project's last update was in 2021, and promised features like LokiJS support are still 'coming soon,' indicating potential stagnation and fewer community resources compared to alternatives like Mongoose.
As a thin wrapper, Camo may not abstract complex MongoDB features like transactions, requiring direct driver access for advanced use cases, which can complicate code.