Database

Created at 9 Feb 2022

Updated at 19 Jun 2025

Learn SQL

A list of various maintained databases per rough category. Meaning to try them out.

Traditional transactional databases for applications that need ACID guarantees and consistent reads/writes.

Optimized for complex queries and data analysis over large datasets.

Specialized for storing and querying time-stamped data with high write throughput.

Schema-flexible databases that store data as documents (usually JSON/BSON).

Engines optimized for text search, filtering, and complex queries across large document collections.

Designed for data with complex relationships and connections.

Handle continuous data streams and provide real-time processing capabilities.

Scalable databases that store data in column families, handling massive amounts of data across many servers.

High-performance in-memory storage for temporary data and acceleration.

Lightweight databases designed for client-side applications, mobile devices, or browser environments.

Support multiple data models (document, graph, key-value) in a single database.

Databases built for specific domains like AI/ML, collaboration, scientific computing, or IoT.

Databases designed to run in serverless environments or at the edge.

Peer-to-peer databases that don’t rely on central servers.

Various Postgres tools and extensions.