RiveStack - AI-ready PostgreSQL in Europe — pgvector + HNSW on NVMe.

I’m a DevOps engineer who ships AI apps. I couldn’t find a Postgres that was both affordable and fast for pgvector—especially with HA—without juggling a separate vector DB or paying enterprise rates. Many teams start with ~100GB, 2 vCPU / 4 GB RAM, and just need a solid, vector-ready database that doesn’t blow the budget. So we built Rivestack. • Cost from day one: starts at $29/mo (billed hourly) for 2 vCPU / 4 GB / 100 GB—so you can test and launch without a $300+ bill. • Vector search built in: pgvector out of the box with HNSW (for high recall, low latency) or IVFFlat (for leaner memory). • Performance you can feel: NVMe-backed storage, high IOPS, sensible auto-tuning for write-heavy + vector workloads, fast index builds, and optional read replicas. • HA when you need it: a native HA plan with synchronous replica + automatic failover—no DIY ops. • EU-first by design 🇪🇺: we’re based in Europe and offer EU regions by default to keep data under European jurisdiction and minimize exposure to extraterritorial laws (e.g., CLOUD Act). Global regions are available when you need them. Our goal: keep vectors and relational data in one familiar Postgres, deliver real performance, and make it price-accessible for builders—from first prototype to production.