Databases and storage
Relational, document, cache, search and analytical data stores.
Data stores chosen for correctness first: constraints, transactions and backups, then performance and scale.
- PG
PostgreSQL
A powerful open-source relational database with row-level security, JSONB and rich indexing.
- My
MySQL
The widely deployed open-source relational database.
- Ma
MariaDB
A community-developed MySQL-compatible database.
- MS
Microsoft SQL Server
Microsoft's enterprise relational database.
- Mo
MongoDB
A document database for flexible, evolving data structures.
- Rd
Redis
An in-memory data store for caching, rate limiting, queues and real-time data.
- SL
SQLite
An embedded SQL database in a single file.
- ES
Elasticsearch / OpenSearch
Full-text search and analytics engines.
- S3
Object storage (S3-compatible)
Durable storage for files and media using the S3 API — AWS S3, Cloudflare R2 and others.
- DW
Data warehouses
Analytical databases such as BigQuery, Snowflake, Redshift or PostgreSQL-based warehouses.
- VD
Vector databases
Stores for embeddings that power semantic search and retrieval-augmented AI (pgvector and dedicated engines).
Working with databases and storage?
Whether you are starting fresh or maintaining an existing system, tell us where you are.