Milvus vs turbopuffer
Comparing two vector database platforms on pricing, features, free tier, and trade-offs.
Quick summary
Milvus — Open source vector database for GenAI. Milvus is a CNCF-graduated open-source vector database built for massive scale, with managed cloud via Zilliz.
turbopuffer — Serverless vector search on object storage. turbopuffer is a serverless vector database built on S3, offering very cheap storage pricing and pay-per-query model — designed for RAG at scale without fixed pod costs.
Feature comparison
| Feature | Milvus | turbopuffer |
|---|---|---|
| Pricing model | Freemium | Paid |
| Starting price | $65/mo (Zilliz) | Usage-based |
| Free tier | Yes | No |
| Open source | Yes | No |
| Type | Hybrid | Serverless |
| Free Tier | Zilliz free cluster | None |
| Serverless | Yes | Yes |
| Self-hosted | Yes | No |
| Multi-tenant | Yes | Yes |
| Hybrid Search | Yes | Yes |
| Max Dimensions | 32768 | 10000 |
| Metadata Filtering | Yes | Yes |
Milvus
Open source vector database for GenAI
Pros
- Scales to billions of vectors
- CNCF-graduated, enterprise-ready
- Multiple index types (HNSW, IVF, DiskANN)
- Strong in China / APAC market
Cons
- Heavy for small use cases
- Steep learning curve
- Ops complex if self-hosting
turbopuffer
Serverless vector search on object storage
Pros
- Storage on S3 — extremely cheap
- Pay per query, no pod hours
- Good for cold / infrequently-queried data
- Simple API
Cons
- Higher query latency than Pinecone/Qdrant
- No free tier
- Closed source
Which should you choose?
Choose Milvus if you value open source and want the option to self-host, and a free tier is important for your stage. Choose turbopuffer if you need production-grade features and are ready to pay.