Updated May 13, 2026 · Independent Analysis
Only in Milvus / Zilliz Cloud
- ✦ Open Source (Apache 2.0)
- ✦ Distributed Architecture
- ✦ Billion-Scale Vectors
✓ Free plan5k+ users · est. 2017

★ 4.5/5+0.1 vs Milvus / Zilliz Cloud
Only in pgvector
- ✦ PostgreSQL Extension
- ✦ Exact Nearest Neighbor
- ✦ Approximate Nearest Neighbor (IVFFlat, HNSW)
✓ Free plan100k+ users · est. 2021
Pricing Intelligence

Milvus / Zilliz Cloud Plans
Free tier available
Milvus Open Source0
Open Source- • Full features
- • Apache 2.0
- • Community support
Zilliz Cloud Serverless
Custom- • From $0.1/CU-hr
- • Managed Milvus
- • Auto-scaling
- • Dedicated clusters
- • SLA
- • Private VPC
Full Milvus / Zilliz Cloud Pricing Breakdown →Feature Matrix
4 differences found across 10 standardized features
Feature
Milvus / Zilliz Cloud
pgvector
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
Pros
- +CNCF project — battle-tested for billion-scale workloads
- +GPU acceleration and DiskANN for cost-efficient large-scale search
- +Distributed architecture with independent storage/compute scaling
- +Multi-vector search supports complex AI use cases
Cons
- −Operational complexity — requires Kubernetes expertise for self-hosted
- −Overkill for small-scale RAG applications
Pros
- +No new infrastructure — runs inside existing PostgreSQL
- +SQL interface familiar to every developer
- +ACID transactions across vectors and relational data
- +Works on Supabase, RDS, Neon — all managed PG providers
Cons
- −Performance trails purpose-built vector DBs at 10M+ vectors
- −No distributed vector search without manual sharding
At a Glance
Starting PricePay-per-usevsPay-per-use
Feature Count16 featuresvs16 features
Frequently Asked Questions