Milvus vs Weaviate
Milvus excels in high-performance similarity search with advanced indexing, while Weaviate shines in hybrid search and ease of use with its… See pricing, features & verdict.
Quick Comparison
| Feature | Milvus | Weaviate |
|---|---|---|
| Best For | High-performance similarity search at scale, especially for applications requiring complex indexing (e.g., IVF, HNSW) | Hybrid search combining vector similarity and keyword filtering, ideal for semantic search and object storage |
| Architecture | Distributed, horizontally scalable with support for multiple index types and ML framework integration | Distributed, built in Go with a GraphQL API, supports schema-based data modeling |
| Pricing Model | Free with no usage limits; enterprise editions available with custom pricing | Free tier with limited features; paid tiers start at $100/month for team plans, enterprise pricing custom |
| Ease of Use | Moderate; requires configuration for optimal performance, but integrates well with ML ecosystems | High; user-friendly with GraphQL API and schema-based design simplifying development |
| Scalability | High; designed for billion-scale data with distributed clustering | High; supports horizontal scaling and cloud-native deployment |
| Community/Support | Large, active open-source community with enterprise support options | Growing open-source community with commercial support available |
Milvus
- Best For:
- High-performance similarity search at scale, especially for applications requiring complex indexing (e.g., IVF, HNSW)
- Architecture:
- Distributed, horizontally scalable with support for multiple index types and ML framework integration
- Pricing Model:
- Free with no usage limits; enterprise editions available with custom pricing
- Ease of Use:
- Moderate; requires configuration for optimal performance, but integrates well with ML ecosystems
- Scalability:
- High; designed for billion-scale data with distributed clustering
- Community/Support:
- Large, active open-source community with enterprise support options
Weaviate
- Best For:
- Hybrid search combining vector similarity and keyword filtering, ideal for semantic search and object storage
- Architecture:
- Distributed, built in Go with a GraphQL API, supports schema-based data modeling
- Pricing Model:
- Free tier with limited features; paid tiers start at $100/month for team plans, enterprise pricing custom
- Ease of Use:
- High; user-friendly with GraphQL API and schema-based design simplifying development
- Scalability:
- High; supports horizontal scaling and cloud-native deployment
- Community/Support:
- Growing open-source community with commercial support available
Feature Comparison
| Feature | Milvus | Weaviate |
|---|---|---|
| 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 high-performance similarity search with advanced indexing, while Weaviate shines in hybrid search and ease of use with its GraphQL API. Both are scalable, but Milvus is better for ML-heavy workloads, and Weaviate for semantic search with schema-based data.
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 Weaviate?
Milvus focuses on high-performance similarity search with advanced indexing, while Weaviate emphasizes hybrid search (vector + keyword) and schema-based data modeling with a GraphQL API.
Which is better for small teams?
Weaviate's free tier with limited features may be more accessible for small teams, while Milvus' free tier requires more configuration but offers scalability.
Can I migrate from Milvus to Weaviate?
Migration would require reformatting data to fit Weaviate's schema-based model and may involve reindexing, as the two systems use different architectures.