Data
PostgreSQL
Our default relational store.
What it is
Postgres is a relational database. It is old, stable, and quietly capable of handling almost any workload a typical product throws at it - including vector search (via pgvector), full-text search, JSON, time-series, and geospatial data.
Why we reach for it
- Extraordinarily reliable - decades of production hardening, an active maintainer community, and a well-understood operational model.
- Handles many workloads teams reach for specialised databases to solve: vectors, full-text, JSON, geo, time-series.
- Fair performance for 99% of products. Premature sharding and NoSQL have killed more products than Postgres ever will.
- Tooling is mature - backups, read replicas, point-in-time recovery are all boring and documented.
When we don’t
- -True extreme-scale OLAP - BigQuery, Snowflake, or Redshift are the right tools.
- -Hot-path caching or rate limiting - reach for Redis.
Where it shows up
Engagements where PostgreSQL typically lands.
Also in Data
Working with PostgreSQL?
Tell us what you’re shipping.
30 minutes, no pitch deck. We’ll ask what you’re building, what hurts, and whether we’re the right fit. PostgreSQL expertise is table stakes - we talk scope, not résumés.