Database Guides

Plain-English guides to the databases developers actually use. What each one is, how it works, when to use it, and how to get started.

PostgreSQL

The world's most advanced open-source relational database

The most popular document database for modern applications

High-performance open-source vector database for next-generation AI applications

Fast in-process analytical database with rich SQL support and zero dependencies

In-process SQL database compatible with SQLite, written in Rust with vector search and CDC support

Fast, typo-tolerant open-source search engine with built-in vector and semantic search

Serverless PostgreSQL with separated storage and compute, branching, and scale-to-zero

High-performance cloud-native vector database built for scalable similarity search and AI applications

AI-native vector database with hybrid search and built-in model integration

Open-source AI-native vector database for building LLM-powered applications with embeddings

Lightning-fast, typo-tolerant search engine with AI-powered hybrid search

Modern in-memory data store fully compatible with Redis and Memcached, delivering 25x more throughput

Fast open-source column-oriented database for real-time analytics and OLAP