RiveStack
Hey HN, I built Rivestack because managed PostgreSQL with pgvector is either expensive (AWS, GCP) or shared resources (Neon, Supabase free tiers). What it does: - Dedicated PostgreSQL with pgvector pre-installed - Automated backups, monitoring, HA - EU and US-East regions - Free tier for testing Benchmarks on the $29 tier: - 10k vectors: 2,000 QPS, <4ms latency - 1M vectors: 252 QPS, 32ms latency, 98% recall Stack: Hetzner infrastructure, Patroni for HA, pgBackRest for backups. Would love feedback from anyone building RAG or semantic search. Happy to answer questions!
RiveStack launched on October 20, 2025 with 2 votes. The site was still online in September 2026, 1 year on.
What it does
Fast, affordable, EU-hosted Postgres with vector search built in, snapshots/PITR, and optional HA. Create a database in minutes and pay by the hour.
Managed pgvector on dedicated PostgreSQL with local NVMe. Measured low-single-digit-ms search, fixed pricing from $29/month, and migration help included.
Run vectors and relational data in one always-on PostgreSQL database. Tuned pgvector, automated backups, and fixed pricing from $29/month, with migration help included. Vectors, metadata, filters, joins, and transactions live beside your application rows. No ingestion pipeline into a second store. HNSW and StreamingDiskANN indexes on dedicated local NVMe, sized and tuned per plan — not a default extension install. 3.5 ms p50 at recall@10 0.90+ and ~4,465 QPS, measured with EXPLAIN ANALYZE on Growth. Always-on compute, no cold starts. The answer should depend on your vectors, filters, traffic, and tolerance for downtime — not a generic sales calculator. Compare like-for-like compute,…from rivestack.io
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