9 repository-uri
Frameworks for mapping application data structures to document-oriented database formats.
Distinguishing note: Specifically targets document-based storage models like MongoDB, distinct from relational ORM mapping.
Explore 9 awesome GitHub repositories matching data & databases · Document Database Modeling. Refine with filters or upvote what's useful.
Mongoose is an object data modeling library and framework for Node.js that maps application objects to MongoDB documents. It functions as a document mapper and schema validator, ensuring consistent data types and validation rules for records stored in MongoDB. The project provides a system for defining structured schemas to model application data, including the ability to create hierarchical data structures through nested schema composition. It implements a middleware-based hook system that allows for the interception and modification of data states during the lifecycle of database operations
Maps application objects to MongoDB documents using structured schemas for data type and validation enforcement.
Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the
Model data for document-based storage using custom identifiers, nested structures, and flexible document fields while maintaining the standard database-agnostic interface.
Open-IM-Server is an instant messaging server and cross-platform messaging backend designed for real-time text and media communication. It provides a distributed chat architecture that coordinates user sessions and group communications across multiple server nodes to support millions of concurrent users. The system features a scalable message distribution model that utilizes asynchronous message pipelines and distributed queueing to maintain reliability during traffic spikes. It employs multi-level data caching across local memory and distributed stores to reduce latency and uses a document-b
Employs a document-based data model to store flexible, semi-structured information for diverse message types.
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
Supports a flexible document data model to reduce operational complexity and ensure scalability.
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 integration enables the use of a fluent query builder for constructing queries and aggregation pipelines without writing raw database syntax. It supports schema-less model integration, allowing applications to manage unstructured data while maintaining compatibility with standard object-oriented patterns. Th
Maps application data structures to MongoDB documents using the Active Record pattern.
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
Maps MongoDB document structures to an object-oriented model system for seamless data manipulation.
Acest proiect este o implementare de referință pentru o aplicație web full-stack și un blog cu randare pe partea de server. Demonstrează integrarea unui server Node.js și Express cu o bază de date MongoDB, utilizând Mongoose (object document mapper) pentru modelarea datelor bazată pe scheme. Aplicația dispune de un sistem complet de autentificare a utilizatorilor care suportă credențiale locale și furnizori de identitate externi prin OAuth. Include gestionarea sesiunilor și măsuri de securitate precum hashing-ul criptografic al parolelor și protecția împotriva atacurilor de tip cross-site request forgery (CSRF). Sistemul acoperă o varietate de capabilități de gestionare a conținutului, inclusiv fluxuri de lucru pentru scrierea articolelor și moderarea comentariilor comunității. Utilizează randarea șabloanelor pe server pentru a genera vizualizări HTML dinamice și include configurații pentru stocarea în cloud și gestionarea credențialelor în funcție de mediu. Proiectul oferă un model de deployment containerizat folosind Docker pentru a orchestra serverul web și baza de date.
Uses Mongoose to define structured schemas for mapping JavaScript objects to MongoDB documents.
Acest proiect este o bibliotecă de persistență a obiectelor și un strat de abstractizare pentru maparea datelor. Oferă un set de interfețe partajate și clase de bază concepute pentru a decupla logica de domeniu de implementările specifice de mapare a obiectelor, separând stratul de business de implementarea accesului la date. Biblioteca include un instrument de gestionare a schemei bazei de date și de migrare pentru definirea, versionarea și implementarea actualizărilor incrementale ale structurilor de date în diferite medii. De asemenea, funcționează ca un mapper pentru baze de date de documente, traducând stările obiectelor în formate structurate pentru stocare și regăsire. Sistemul acoperă o gamă largă de capabilități de persistență, inclusiv gestionarea colecțiilor de obiecte și capacitatea de a instanția obiecte fără a apela constructori pentru a restaura starea. Include, de asemenea, utilitare pentru versionarea schemei bazei de date și dispecerizarea de evenimente personalizate pentru a permite componentelor decuplate să reacționeze la schimbările de persistență.
Provides a framework for mapping application data structures to document-oriented database formats.
Practicalnode is a comprehensive educational resource and backend development framework for mastering server-side programming with Node.js. It provides a structured approach to building scalable network services, REST APIs, and real-time applications using asynchronous JavaScript. The project serves as a detailed implementation guide for several core backend patterns, including MongoDB data modeling and the construction of REST API development kits. It emphasizes a specific workflow for Docker containerization and offers a variety of strategies for managing user identity through stateless tok
Provides a guide for mapping application objects to schema-based documents in MongoDB.