9 Repos
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.
This project is a reference implementation of a full-stack web application and server-side rendered blog. It demonstrates the integration of a Node.js and Express server with a MongoDB database using the Mongoose object document mapper for schema-based data modeling. The application features a complete user authentication system that supports local credentials and external identity providers via OAuth. It includes session management and security measures such as cryptographic password hashing and protection against cross-site request forgery. The system covers a variety of content management
Uses Mongoose to define structured schemas for mapping JavaScript objects to MongoDB documents.
Dieses Projekt ist eine Bibliothek für Objektpersistenz und eine Abstraktionsschicht für Data-Mapper. Es bietet eine Reihe gemeinsamer Schnittstellen und Basisklassen, die darauf ausgelegt sind, die Domänenlogik von spezifischen Object-Mapper-Implementierungen zu entkoppeln und die Geschäftslogik von der zugrunde liegenden Datenzugriffsschicht zu trennen. Die Bibliothek enthält ein Tool zur Verwaltung und Migration von Datenbankschemata für das Definieren, Versionieren und Bereitstellen inkrementeller Updates von Datenbankstrukturen in verschiedenen Umgebungen. Sie fungiert zudem als Dokumentendatenbank-Mapper, der Objektzustände für Speicherung und Abruf in strukturierte Dokumentformate übersetzt. Das System deckt ein breites Spektrum an Persistenzfunktionen ab, einschließlich der Verwaltung von Objektsammlungen und der Möglichkeit, Objekte ohne Aufruf von Konstruktoren zu instanziieren, um den Zustand wiederherzustellen. Zudem bietet es Dienstprogramme für die Versionierung von Datenbankschemata und das Dispatching benutzerdefinierter Ereignisse, damit entkoppelte Komponenten auf Persistenzänderungen reagieren können.
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.