RediSearch vs Weaviate
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | RediSearch | Weaviate |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 90 · Excellent | 95 · Excellent |
| Category | Search Engines | Search Engines |
| License | RSALv2 | BSD-3-Clause |
| Language | Rust | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 512 MB | 2,048 MB |
| Deployment | docker, kubernetes, binary | docker, kubernetes, helm |
| GitHub stars | ★ 6,242 | ★ 16,841 |
| First released | 2017 | 2019 |
| Replaces | Elasticsearch, Algolia | Pinecone, Algolia |
What are RediSearch and Weaviate?
RediSearch
RediSearch, part of the Redis Query Engine, adds full-text search, secondary indexing and vector search capabilities to Redis. It enables fast querying over data already stored in Redis.
- Full-text search inside Redis
- Secondary indexing of Redis data
- Vector similarity search
- Aggregations and queries
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
RediSearch vs Weaviate: key differences
RediSearch is written in Rust, while Weaviate is built with Go. Licensing differs — RSALv2 for RediSearch versus BSD-3-Clause for Weaviate. RediSearch is the lighter option, starting around 512 MB of RAM against 2,048 MB for Weaviate. RediSearch 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 6,242.
Why pick each one
Choose RediSearch if…
- Very fast, in-memory
- Reuses existing Redis
Watch out for
- Source-available, not OSI licensed
Choose Weaviate if…
- Great for AI semantic search
- Easy to start
Watch out for
- Memory hungry with large datasets
Frequently asked questions
Is RediSearch or Weaviate better?
Neither is universally better. Weaviate has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are RediSearch and Weaviate free and open-source?
Yes. RediSearch is licensed under RSALv2 and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run RediSearch and Weaviate with Docker?
RediSearch: yes. Weaviate: yes.
Which is lighter on resources, RediSearch or Weaviate?
RediSearch has the smaller minimum footprint at 512 MB of RAM, compared to about 2,048 MB for Weaviate. Real-world usage depends on library size, user count, and enabled features.