Our first choice for relational data, powerful and reliable.
PostgreSQL is our first choice for relational data because it is powerful, standards-compliant and remarkably reliable. Over the years it has grown far beyond classic SQL. It handles JSONB, full-text search, geodata via PostGIS and can even be extended for semantic search through extensions like pgvector. So a single, well-understood database covers a surprising range of needs, without us running several systems side by side.
More in the documentationWe build most of our applications directly on Postgres, from lean tools to complex platforms with many tables and strict consistency requirements. When you need structured data, clean transactions and flexible JSON fields at the same time, you give yourself a foundation that grows with you rather than holding you back.
CREATE INDEX idx_user_role ON users ((data->>'role'));
SELECT id, data->>'email' AS email
FROM users
WHERE data->>'role' = 'admin';Good to know
Reach for the right indexes early and check queries with EXPLAIN ANALYZE. A missing index on a foreign key column barely shows in testing, yet it noticeably costs you speed under load.
More tools we work with in the same area.
MySQL & MariaDB
Proven relational databases for classic applications.
MS SQL Server
For enterprise environments and Microsoft integrations.
MongoDB
A flexible document database for unstructured or growing data.
Supabase
Postgres with auth, storage and realtime as a backend-as-a-service.
Redis
An ultra-fast key-value store for caching and realtime features.
SQLite
An embedded, serverless database, ideal for edge and local apps.
You don't have to decide that, it's our job. Tell us about your plans.