4 个仓库
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 是一个基于 Web 的数据库管理器和云数据库 IDE,提供了一个用于管理 SQL 和 NoSQL 数据库的集中式浏览器界面。它作为一个多数据库管理工具和 RBAC 数据库访问网关,允许用户通过单一的服务器端安装来管理各种关系型和文档型数据库引擎。 该平台通过集成用于自然语言 SQL 生成和优化的 AI 助手而脱颖而出。它进一步通过集中式访问管理和基于角色的权限,协调团队间的数据库操作,从而支持协作式数据工程。 该系统涵盖了广泛的功能,包括通过树状模式浏览器和网格编辑器进行可视化数据探索,以及全面的连接管理和数据传输工具。它还包括用于发现和管理云服务提供商托管的数据库资源的专门工具。 该应用程序作为客户端-服务器系统部署,支持通过 Web 浏览器进行远程数据库管理。
Enables teams to coordinate database operations and share connections through centralized access and permission controls.