edgedb/edgedb
Edgedb
EdgeDB is a graph-relational database that combines a PostgreSQL backend with a graph-based schema and query language. It functions as an object-relational mapper and graph query engine, allowing data to be modeled as objects and links to align storage with modern programming language structures.
The system features a composable query language designed to retrieve deeply nested or interconnected data without the use of manual SQL joins. It includes an integrated AI-driven data retrieval solution with built-in support for vector embeddings.
The platform provides a schema migration tool for tracking and applying versioned changes across environments and binds authorization logic directly to the data model to enforce security at the database level.
A dedicated command line shell is provided to execute interactive queries and manage database instances.
Features
- Graph-Relational Models - Combines a flexible graph model with relational storage to handle complex datasets and their relationships.
- Graph-Relational Management - Stores and queries complex datasets that combine relational structures with flexible graph relationships.
- Graph Querying - Fetches structured objects and nested relationships using a composable query language.
- Graph-Relational Databases - Combines a relational PostgreSQL backend with a graph-based schema and query language.
- Graph Traversal - Implements graph-like relationship navigation by utilizing foreign key constraints and optimized join paths.
- Schema-Driven Object Modeling - Allows defining schemas using object types and links to align database structures with modern programming languages.
- Object-Relational Mappers - Implements a data modeling system that defines schemas as objects and links to match programming structures.
- Object-Relational Mapping - Maps object-oriented type definitions to relational tables to bridge graph and relational models.
- Postgres-Based Engines - Uses a modified PostgreSQL backend as the physical storage engine to support its graph-relational model.
- Query Languages - Implements a composable query language that eliminates manual SQL joins for retrieving deeply nested data.
- Complex Query Processors - Enables the retrieval and manipulation of deeply nested or interconnected data without complex joins.
- Database-Integrated AI - Provides built-in support for vector embeddings and AI-driven data retrieval solutions.
- Database Migrations - Offers tools for versioning and applying schema changes to maintain consistency across environments.
- Schema Migration Tools - Provides a built-in system for tracking and applying versioned schema changes across different environments.
- Schema Migrations - Automates the tracking and application of versioned schema changes to maintain environment consistency.
- Authorization Logic - Binds access control rules directly to the data model to enforce security at the database level.
- Declarative Migrations - Provides declarative schema migration tracking that automatically computes the diffs required to reach a target state.
- Database and Storage Tools - Object-relational database built on top of PostgreSQL.
