LanceDB vs Qdrant
Comparing two vector database platforms on pricing, features, free tier, and trade-offs.
Quick summary
LanceDB — Serverless vector database for multimodal AI. LanceDB is an open-source serverless vector database with embedded and cloud options, native multimodal support, and a columnar on-disk format.
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.
Feature comparison
| Feature | LanceDB | Qdrant |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | $50/mo | $25/mo |
| Free tier | Yes | Yes |
| Open source | Yes | Yes |
| Type | Embedded + cloud | Hybrid |
| Free Tier | Open source unlimited | 1GB cluster |
| Serverless | Yes | Yes |
| Self-hosted | Yes | Yes |
| Multi-tenant | Yes | Yes |
| Hybrid Search | Yes | Yes |
| Max Dimensions | 32768 | 65536 |
| Metadata Filtering | Yes | Yes |
LanceDB
Serverless vector database for multimodal AI
Pros
- Embedded mode — no server needed
- Columnar format (great for analytics)
- Strong multimodal support
- Open source
Cons
- Younger project, smaller community
- Less battle-tested in production
- Cloud tier newer than competitors
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
Which should you choose?
Choose LanceDB if you value open source and want the option to self-host, and a free tier is important for your stage. Choose Qdrant if you value open source and want the option to self-host, and a free tier is important for your stage.