neondatabase/neon
Neon
Neon is a serverless PostgreSQL database platform designed with a decoupled storage and compute architecture. It functions as a multi-tenant system that isolates data and compute resources for independent users on shared cloud infrastructure, utilizing a specialized PostgreSQL storage engine.
The platform features a database branching system that allows for the creation of isolated, instant copies of a database for testing and development. It further distinguishes itself with an HTTP-based SQL gateway, enabling the execution of queries via HTTP requests and JSON responses without the need for native drivers.
The system supports automatic resource scaling, including the ability to scale compute nodes down to zero during periods of inactivity. Its capability surface covers point-in-time recovery, copy-on-write snapshots, and a variety of connectivity options including standard TCP and WebSocket tunneling.
Infrastructure management includes multi-tenant resource isolation, database traffic routing, and storage metadata auditing to ensure data consistency and the purging of obsolete objects.
Features
- Storage-Compute Architectures - Separates the database engine from the persistence layer to allow stateless compute nodes to scale independently.
- Serverless Databases - Provides a serverless PostgreSQL hosting platform that automatically scales compute resources and scales down to zero during inactivity.
- Database Branching - Provides a database branching system for creating isolated, instant copies of data for testing and development.
- Resource Scaling Strategies - Automatically adjusts compute capacity based on workload demands, including the ability to scale nodes down to zero.
- HTTP Query Protocols - Provides a standardized web interface for executing SQL queries over HTTP and WebSockets.
- HTTP-to-SQL Mappers - Provides a gateway to execute SQL queries via HTTP POST requests and receive JSON responses without native drivers.
- Multi-Tenant Resource Isolation - Isolates CPU, memory, and I/O resources for independent tenants on shared cloud infrastructure.
- Storage Engines - Implements a specialized PostgreSQL storage engine that decouples storage from compute to enable snapshots and point-in-time recovery.
- Autoscaling Systems - Automatically adjusts compute resources based on demand, including the ability to scale down to zero.
- PostgreSQL-Compatible - Offers a cloud-native serverless PostgreSQL database that separates storage from compute for automatic scaling.
- Database Snapshots - Creates isolated database snapshots by tracking incremental changes instead of duplicating full datasets.
- Cloud Database Provisioning - Automates the creation of tenant-specific database endpoints with specified versions and roles.
- Timeline Branching - Supports creating copy-on-write snapshots of the database at specific points in time for isolated migrations.
- Database Connectivity - Supports standard network endpoints for direct TCP connections using existing database drivers.
- Log-Structured Storage - Utilizes a log-structured storage engine to persist write-ahead logs to remote object storage.
- Traffic Routing - Directs incoming database requests to specific projects or roles using multiple authentication schemes and routing backends.
- Point-in-Time Recovery - Recovers database state up to a specified log sequence number to undo accidental changes.
- WebSocket Proxy Tunnels - Implements WebSocket tunneling to allow database connectivity in environments where standard TCP ports are blocked.
- Database Systems - Serverless Postgres with storage and compute separation.
- Databases and RAG - Serverless Postgres with branching capabilities.
- Databases and Storage - Serverless Postgres database with branching capabilities.
- Databases & Data - Serverless PostgreSQL with storage and compute separation.
