This project is a MongoDB database driver and object-relational mapper that brings MongoDB support to the Laravel Eloquent model and query builder. It provides a NoSQL model mapper that allows MongoDB collections to be mapped to object-oriented models using the Active Record pattern.
The main features of mongodb/laravel-mongodb are: Fluent Query Builders, NoSQL Databases, BSON Mappings, Data-to-Model Mappers, Active Record Mappers, Document Database Modeling, MongoDB Database Drivers, Active-Record ORMs.
Open-source alternatives to mongodb/laravel-mongodb include: jenssegers/laravel-mongodb — This project is a MongoDB Eloquent ORM and NoSQL query builder for the Laravel framework. It provides an active record… mongodb/mongo-go-driver — The mongo-go-driver is a Go library for building applications that integrate with a MongoDB document store. It enables… mongoengine/mongoengine — MongoEngine is a Python object-document mapper that translates database records into objects to provide an… seaql/sea-orm — Sea-ORM is an asynchronous SQL object-relational mapper and database toolkit for mapping relational tables to strongly… gaarason/database-all — This project is a Java-based object-relational mapping framework that utilizes the active record pattern to simplify… codeigniter4/codeigniter4 — CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web…
This project is a MongoDB Eloquent ORM and NoSQL query builder for the Laravel framework. It provides an active record implementation that maps MongoDB collections and documents to programmable models for data manipulation. The system enables schemaless data management, allowing applications to handle dynamic data structures without the need for rigid database migrations or predefined tables. It integrates MongoDB into Laravel applications to store and retrieve flexible document data using standard PHP patterns. The library covers document store querying and Eloquent model mapping, utilizing
The mongo-go-driver is a Go library for building applications that integrate with a MongoDB document store. It enables the storage and retrieval of flexible document data by providing a bridge between Go backends and the database. The driver implements specialized capabilities for semantic vector search, allowing the handling and execution of high-dimensional vector data for similarity-based retrieval. It also supports full-text search via linguistic analysis and programmatic search index management. The project covers a broad range of database operations, including document-based CRUD, bulk
MongoEngine is a Python object-document mapper that translates database records into objects to provide an object-oriented interface for data persistence. It serves as a document manager and schema validator for MongoDB, mapping classes to documents to enforce data types and validation rules. The project provides a lazy-loaded queryset system for filtering, sorting, and aggregating collections using Pythonic syntax. It manages complex data structures through features such as document inheritance, recursive embedded document handling, and reference-based object linking. The library covers bro
Sea-ORM is an asynchronous SQL object-relational mapper and database toolkit for mapping relational tables to strongly typed objects. It provides a relational database mapper for performing CRUD operations across MySQL, PostgreSQL, and SQLite, and includes a programmatic dynamic query builder for constructing complex SQL statements. The project distinguishes itself by providing a GraphQL schema generator that transforms database entities into typed schemas with built-in pagination and filters. It also features a dedicated database migration tool for defining and applying versioned schema chan