Qdrant vs turbopuffer
Comparing two vector database platforms on pricing, features, free tier, and trade-offs.
Quick summary
Qdrant — High-performance open source vector search. Qdrant is a Rust-based open-source vector database with strong filtering, payload storage, and managed cloud offering with generous free tier.
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 | Qdrant | turbopuffer |
|---|---|---|
| Pricing model | Freemium | Paid |
| Starting price | $25/mo | Usage-based |
| Free tier | Yes | No |
| Open source | Yes | No |
| Type | Hybrid | Serverless |
| Free Tier | 1GB cluster | None |
| Serverless | Yes | Yes |
| Self-hosted | Yes | No |
| Multi-tenant | Yes | Yes |
| Hybrid Search | Yes | Yes |
| Max Dimensions | 65536 | 10000 |
| Metadata Filtering | Yes | Yes |
Qdrant
High-performance open source vector search
Pros
- Blazing fast Rust core
- Open source + managed cloud
- Excellent filtering via payload
- Very generous free tier
Cons
- Smaller ecosystem than Pinecone
- Some advanced features cloud-only
- Fewer SDK niceties
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 Qdrant 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.