# Managed Postgres Vector

> Browse 3 items tagged with Managed Postgres Vector.

## Items

- [Neon Serverless Postgres](https://vectordb.ever.works/pl/items/neon-serverless-postgres) — Serverless managed Postgres with pgvector extension for vector search, featuring compute-storage separation, instant scaling, database branching, and RLS for multi-tenancy. Optimized for serverless workloads in AI apps with auto-suspend to zero cost. Delivers Postgres SQL capabilities plus vectors, better than dedicated DBs for developer workflows and transactional AI use cases.
- [Amazon RDS for PostgreSQL](https://vectordb.ever.works/pl/items/amazon-rds-for-postgresql) — Managed PostgreSQL service from AWS with pgvector extension for vector embeddings and similarity search. Features include storage auto-scaling, read replicas, Multi-AZ high availability, and Row Level Security (RLS) enabling secure multi-tenant AI applications. Combines full SQL power and ACID transactions with vector capabilities, superior to dedicated vector DBs for complex relational queries and joins.
- [Supabase Vector](https://vectordb.ever.works/pl/items/supabase-vector) — Managed serverless Postgres with pgvector for vector similarity search, featuring real-time subscriptions, Edge Functions, auto-HNSW indexing, serverless scaling, and RLS for multi-tenant isolation. Built for full-stack AI apps with auth, storage, and realtime. Postgres SQL + vectors outperforms dedicated DBs in integrated app development and cost for RAG/multi-tenant use cases.

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