Weaviate vs Whoosh
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Weaviate
Open-source vector database for semantic and AI search
VS
Whoosh
Pure-Python full-text indexing and search library
| Feature | Weaviate | Whoosh |
|---|---|---|
| Category | Search Engines | Search Engines |
| License | BSD-3-Clause | BSD-2-Clause |
| Language | Go | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 2,048 MB | 64 MB |
| Deployment | docker, kubernetes, helm | source |
| GitHub stars | ★ 16,704 | ★ 358 |
| First released | 2019 | 2008 |
| Replaces | Pinecone, Algolia | Elasticsearch |
Why pick each one
Frequently asked questions
Is Weaviate or Whoosh better?
Neither is universally better. Weaviate has the larger community, while Whoosh is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Weaviate and Whoosh free and open-source?
Yes. Weaviate is licensed under BSD-3-Clause and Whoosh under BSD-2-Clause. Both can be self-hosted at no software cost.
Can I run Weaviate and Whoosh with Docker?
Weaviate: yes. Whoosh: check the project docs for container support.