Milvus vs pgvector
Milvus excels in large-scale standalone vector search with advanced indexing, while pgvector offers seamless PostgreSQL integration for teams already using relational databases. Both are open source but differ significantly in scalability and use cases.
Quick Comparison
| Feature | Milvus | pgvector |
|---|---|---|
| Best For | Large-scale similarity search with high-performance vector indexing and ML integration | Seamless integration with PostgreSQL workflows and relational data coexistence |
| Architecture | Distributed, standalone vector database with horizontal scaling capabilities | PostgreSQL extension leveraging existing database infrastructure |
| Pricing Model | Free open-source software with cloud-based Milvus Cloud starting at $0.015 per 1 million vectors processed | Free open-source extension; costs depend on PostgreSQL hosting provider (e.g., AWS RDS, Supabase) |
| Ease of Use | Moderate; requires setup for distributed clusters but offers comprehensive documentation | High for PostgreSQL users; leverages familiar SQL syntax and tools |
| Scalability | High; designed for billion-scale datasets with support for distributed indexing | Moderate; limited by PostgreSQL's inherent scalability constraints |
| Community/Support | Active open-source community with enterprise support options available | Supported by PostgreSQL community with limited dedicated resources |
Milvus
- Best For:
- Large-scale similarity search with high-performance vector indexing and ML integration
- Architecture:
- Distributed, standalone vector database with horizontal scaling capabilities
- Pricing Model:
- Free open-source software with cloud-based Milvus Cloud starting at $0.015 per 1 million vectors processed
- Ease of Use:
- Moderate; requires setup for distributed clusters but offers comprehensive documentation
- Scalability:
- High; designed for billion-scale datasets with support for distributed indexing
- Community/Support:
- Active open-source community with enterprise support options available
pgvector
- Best For:
- Seamless integration with PostgreSQL workflows and relational data coexistence
- Architecture:
- PostgreSQL extension leveraging existing database infrastructure
- Pricing Model:
- Free open-source extension; costs depend on PostgreSQL hosting provider (e.g., AWS RDS, Supabase)
- Ease of Use:
- High for PostgreSQL users; leverages familiar SQL syntax and tools
- Scalability:
- Moderate; limited by PostgreSQL's inherent scalability constraints
- Community/Support:
- Supported by PostgreSQL community with limited dedicated resources
Feature Comparison
| Feature | Milvus | pgvector |
|---|---|---|
| Search & Indexing | ||
| ANN Search | — | — |
| Hybrid Search | — | — |
| Filtering | — | — |
| Index Types | — | — |
| Scalability | ||
| Horizontal Scaling | — | — |
| Replication | — | — |
| Cloud-managed Option | — | — |
| Developer Experience | ||
| Python SDK | — | — |
| REST API | — | — |
| Documentation | — | — |
| Community Size | — | — |
Search & Indexing
ANN Search
Hybrid Search
Filtering
Index Types
Scalability
Horizontal Scaling
Replication
Cloud-managed Option
Developer Experience
Python SDK
REST API
Documentation
Community Size
Legend:
Our Verdict
Milvus excels in large-scale standalone vector search with advanced indexing, while pgvector offers seamless PostgreSQL integration for teams already using relational databases. Both are open source but differ significantly in scalability and use cases.
When to Choose Each
💡 This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Frequently Asked Questions
What is the main difference between Milvus and pgvector?
Milvus is a standalone vector database optimized for large-scale similarity search, while pgvector is a PostgreSQL extension that adds vector capabilities to existing relational databases.
Which is better for small teams?
pgvector may be more suitable for small teams already using PostgreSQL, while Milvus requires more infrastructure setup but offers better scalability for growing needs.
Can I migrate from Milvus to pgvector?
Migration would require reimporting data into PostgreSQL and rebuilding indexes, as pgvector does not natively support Milvus' indexing formats.
What are the pricing differences?
Milvus has a free open-source version with paid cloud options, while pgvector's cost depends on the PostgreSQL hosting provider (e.g., AWS RDS pricing applies).