4 tools tagged
Showing 4 of 4 tools
Multi-model database for the AI era — document, graph, vector, and relational in one
SurrealDB is a multi-model database that natively combines document, graph, relational, key-value, and vector storage in a single engine. It eliminates the need for separate databases by handling structured queries, graph traversals, full-text search, and vector similarity in one SQL-like query language called SurrealQL. Built in Rust for performance and safety, it supports real-time subscriptions, row-level permissions, and embedded or distributed deployment modes.
The reactive backend for modern apps
Reactive backend-as-a-service with real-time sync, TypeScript-native queries and mutations, automatic caching, and built-in file storage. No SQL required — define your backend logic in TypeScript and Convex handles the database, real-time subscriptions, and serverless functions. Ideal for apps that need instant data updates without complex WebSocket infrastructure.
Serverless Postgres
Serverless Postgres platform that separates storage and compute for instant scaling, branching, and auto-suspend. Features database branching (like Git for databases) for development and preview environments, autoscaling compute that scales to zero when idle, point-in-time restore, and a generous free tier. Compatible with any PostgreSQL client and supports extensions like pgvector for AI embeddings. Growing as the database layer for Vercel, Replit, and modern serverless stacks.
The open-source Firebase alternative
Open-source Firebase alternative providing a full backend-as-a-service on PostgreSQL. Auto-generated REST and GraphQL APIs from your schema, real-time subscriptions, built-in auth with 20+ social providers and Row Level Security, S3-compatible file storage with CDN, and Deno-powered Edge Functions. Visual dashboard with SQL editor and table editor. Supports pgvector for AI apps. Self-hostable or managed with a generous free tier. 75K+ GitHub stars.
