LanceDB vs Weaviate
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
LanceDB
Embedded vector database for AI applications
VS
Weaviate
Open-source vector database for semantic and AI search
| Feature | LanceDB | Weaviate |
|---|---|---|
| Category | Self-Hosted AI | Search Engines |
| License | Apache-2.0 | BSD-3-Clause |
| Language | Rust | Go |
| Setup difficulty | Easy | Medium |
| Min. RAM | 512 MB | 2,048 MB |
| Deployment | source, docker | docker, kubernetes, helm |
| GitHub stars | ★ 11,088 | ★ 16,704 |
| First released | 2023 | 2019 |
| Replaces | Pinecone | Pinecone, Algolia |
Why pick each one
Choose LanceDB if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Mature project with 11.1k GitHub stars
Frequently asked questions
Is LanceDB or Weaviate better?
Neither is universally better. Weaviate has the larger community, while LanceDB is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are LanceDB and Weaviate free and open-source?
Yes. LanceDB is licensed under Apache-2.0 and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run LanceDB and Weaviate with Docker?
LanceDB: yes. Weaviate: yes.