Vespa vs Weaviate
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Weaviate
Open-source vector database for semantic and AI search
| Feature | Vespa | Weaviate |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 91 · Excellent | 95 · Excellent |
| Category | Search Engines | Search Engines |
| License | Apache-2.0 | BSD-3-Clause |
| Language | Java | Go |
| Setup difficulty | Hard | Medium |
| Min. RAM | 4,096 MB | 2,048 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, helm |
| GitHub stars | ★ 7,109 | ★ 16,841 |
| First released | 2017 | 2019 |
| Replaces | Elasticsearch, Algolia | Pinecone, Algolia |
What are Vespa and Weaviate?
Vespa
Vespa is an open-source platform for low-latency computation over large data sets, powering search, recommendation and AI applications. It combines storing, searching, ranking and organizing data.
- Combined search and ML ranking
- Vector and tensor computation
- Real-time indexing at scale
- Used for large recommendation systems
Weaviate
Weaviate is an open-source vector database that stores objects and their vector embeddings for semantic search. It enables AI-powered similarity search, retrieval-augmented generation and hybrid queries.
- Vector and hybrid search
- Built-in vectorization modules
- GraphQL and REST APIs
- Horizontal scaling
Vespa vs Weaviate: key differences
Vespa is written in Java, while Weaviate is built with Go. Licensing differs — Apache-2.0 for Vespa versus BSD-3-Clause for Weaviate. Weaviate is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for Vespa. Vespa is the more established project (first released 2017), while Weaviate arrived in 2019. Weaviate has the considerably larger community, at 16,841 GitHub stars versus 7,109.
Why pick each one
Choose Vespa if…
- Extremely powerful and scalable
- Built-in ML ranking
Watch out for
- Steep learning curve
- Heavy resource needs
Choose Weaviate if…
- Great for AI semantic search
- Easy to start
Watch out for
- Memory hungry with large datasets
Frequently asked questions
Is Vespa or Weaviate better?
Weaviate is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider Vespa if its specific feature set fits your needs better.
Are Vespa and Weaviate free and open-source?
Yes. Vespa is licensed under Apache-2.0 and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run Vespa and Weaviate with Docker?
Vespa: yes. Weaviate: yes.
Which is lighter on resources, Vespa or Weaviate?
Weaviate has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for Vespa. Real-world usage depends on library size, user count, and enabled features.