All stacks
/// Data · Database
Postgres-first data architectures.
We start with Postgres and only leave when we have to. Row-level security, partitioning, materialized views, pgvector — the breadth covers most of what teams reach for elsewhere.
/// What we ship with Postgres
How we use it
in production.
- Schema design and migrations (Prisma, Drizzle, Alembic)
- RLS for multi-tenant isolation
- Partitioning, materialized views and indexes
- pgvector for embeddings
- Replication, PITR, read replicas
- Cost-tuned on RDS / Supabase / Neon
/// Postgres in production
