4 repositorios
Systems that enable real-time team cooperation on live database data.
Distinguishing note: Focuses on shared data visibility rather than general database administration.
Explore 4 awesome GitHub repositories matching data & databases · Collaborative Data Platforms. Refine with filters or upvote what's useful.
Prisma is a database toolkit that provides a unified access layer for interacting with relational and document databases. It centers on a declarative schema modeling approach, where developers define their data structures in a human-readable language. This schema serves as the single source of truth, from which the toolkit automatically generates type-safe database clients that provide compile-time validation and editor autocomplete for all data operations. The project distinguishes itself through a high-performance, Rust-based query engine that handles query planning and connection pooling o
Shares access to a live database with team members to enable real-time cooperation and consistent data visibility.
Dolt is a relational database engine that integrates version control directly into the database management layer. It functions as a version-controlled SQL database that tracks every row and schema change using a commit-based history, allowing users to branch, merge, and audit data modifications. By implementing a wire-protocol-compatible server, the system enables standard SQL clients and tools to interact with versioned data as if they were connecting to a traditional relational database. The platform distinguishes itself by applying repository-style workflows to data management, including s
Enables team collaboration on datasets using repository-style workflows like forks, pull requests, and merge operations.
PySyft is a privacy-preserving machine learning framework and remote computation engine. It functions as a decentralized data analysis orchestrator that allows for the execution of data science workflows on remote servers without requiring the transfer of raw private data from the host device. The platform provides a secure collaboration environment where data owners manage permissions and authorize specific collaborators to run computations. It differentiates its workflow by utilizing mock data for local development and validation before submitting final analysis jobs to private remote serve
Offers a platform for managing data permissions and authorizing collaborators to run computations on isolated private datasets.
CloudBeaver es un gestor de bases de datos basado en web y un IDE de base de datos en la nube que proporciona una interfaz de navegador centralizada para administrar bases de datos SQL y NoSQL. Funciona como una herramienta de administración de múltiples bases de datos y una puerta de enlace de acceso a bases de datos RBAC, permitiendo a los usuarios gestionar diversos motores de bases de datos relacionales y basados en documentos a través de una única instalación basada en servidor. La plataforma se distingue por integrar un asistente de inteligencia artificial para la generación y optimización de SQL en lenguaje natural. Además, admite la ingeniería de datos colaborativa al coordinar operaciones de base de datos entre equipos a través de una gestión de acceso centralizada y permisos basados en roles. El sistema cubre una amplia gama de capacidades, incluyendo la exploración visual de datos a través de navegadores de esquemas basados en árboles y editores basados en cuadrículas, así como una gestión integral de conexiones y utilidades de transferencia de datos. También incluye herramientas especializadas para descubrir y gestionar recursos de bases de datos alojados por proveedores de servicios en la nube. La aplicación se despliega como un sistema cliente-servidor, permitiendo la administración remota de bases de datos a través de un navegador web.
Enables teams to coordinate database operations and share connections through centralized access and permission controls.