Meilisearch vs Weaviate
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Meilisearch
Fast, typo-tolerant search engine for applications
VS
Weaviate
Open-source vector database for semantic and AI search
| Feature | Meilisearch | Weaviate |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 100 · Excellent | 95 · Excellent |
| Category | Search Engines | Search Engines |
| License | MIT | BSD-3-Clause |
| Language | Rust | Go |
| Setup difficulty | Easy | Medium |
| Min. RAM | 256 MB | 2,048 MB |
| Deployment | docker, kubernetes, binary | docker, kubernetes, helm |
| GitHub stars | ★ 59,391 | ★ 16,841 |
| First released | 2018 | 2019 |
| Replaces | Algolia, Elasticsearch | Pinecone, Algolia |
What are Meilisearch and Weaviate?
Meilisearch
Meilisearch is an open-source, lightning-fast search engine designed for instant, typo-tolerant search-as-you-type experiences. It is easy to integrate via its REST API and ships as a single binary.
- Typo-tolerant instant search
- Single binary deployment
- Faceted search and filtering
- Simple REST API
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
Meilisearch vs Weaviate: key differences
Meilisearch is written in Rust, while Weaviate is built with Go. Licensing differs — MIT for Meilisearch versus BSD-3-Clause for Weaviate. Meilisearch is the lighter option, starting around 256 MB of RAM against 2,048 MB for Weaviate. Meilisearch has the considerably larger community, at 59,391 GitHub stars versus 16,841.
Why pick each one
Choose Meilisearch if…
- Extremely easy to set up
- Fast and lightweight
Watch out for
- Fewer features than Elasticsearch
Choose Weaviate if…
- Great for AI semantic search
- Easy to start
Watch out for
- Memory hungry with large datasets
Frequently asked questions
Is Meilisearch or Weaviate better?
Meilisearch is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Weaviate if its specific feature set fits your needs better.
Are Meilisearch and Weaviate free and open-source?
Yes. Meilisearch is licensed under MIT and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run Meilisearch and Weaviate with Docker?
Meilisearch: yes. Weaviate: yes.
Which is lighter on resources, Meilisearch or Weaviate?
Meilisearch has the smaller minimum footprint at 256 MB of RAM, compared to about 2,048 MB for Weaviate. Real-world usage depends on library size, user count, and enabled features.