Managed pgvector for AI

Categories: Text & Writing, Coding & Developer Tools, Marketing & Ads | Pricing: Freemium | Official Website ↗

Managed pgvector on dedicated PostgreSQL with NVMe storage. 2,000 QPS at sub-4ms p50, from $35/month, migration help from Supabase, Neon, Pinecone, and self-hosted.

Key Features

Managed pgvector on dedicated PostgreSQL
NVMe storage for high performance
Tuned pgvector with HNSW indexing
Fixed monthly pricing
Migration assistance (Vector Rescue)
EU hosting (France) for data residency
Daily backups + 14d PITR

Pros

High QPS (2,150) at low latency (<4ms p50)
Significant cost savings vs. competitors (65%+ vs Supabase)
Dedicated PostgreSQL on NVMe storage
Free migration help from Supabase, Neon, Pinecone
Fixed monthly pricing starting at $35/node

Cons

More focused feature set compared to broader platforms
Primarily for pgvector, not a general-purpose database
Limited information on enterprise-grade features
No mention of global distribution or multi-region support
Specific to PostgreSQL, not other database types

Use Cases

Semantic search for AI applications
RAG (Retrieval Augmented Generation) architectures
Building AI search engines
Vector similarity search in production
Storing and querying high-dimensional embeddings

Best For

AI/ML teams needing high-performance vector search
Developers migrating from Supabase, Neon, Pinecone
Teams seeking cost-effective managed pgvector
Companies requiring EU data residency

Integrations: PostgreSQL (native driver support), Golang, Java, Rust, Python, Next.js, Ruby, Django, Laravel, Express

Platforms: api

Watch demo on YouTube ↗

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