Orama 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 | Orama | Weaviate |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 87 · Excellent | 95 · Excellent |
| Category | Search Engines | Search Engines |
| License | Apache-2.0 | BSD-3-Clause |
| Language | TypeScript | Go |
| Setup difficulty | Easy | Medium |
| Min. RAM | 128 MB | 2,048 MB |
| Deployment | source, binary | docker, kubernetes, helm |
| GitHub stars | ★ 10,561 | ★ 16,841 |
| First released | 2022 | 2019 |
| Replaces | Algolia, Elasticsearch | Pinecone, Algolia |
What are Orama and Weaviate?
Orama
Orama is an open-source full-text, vector, and hybrid search engine that runs anywhere JavaScript runs, including the browser, edge functions, and servers. It can power in-app search and documentation search without external infrastructure.
- Runs in the browser
- Full-text and vector search
- Hybrid search
- Tiny footprint
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
Orama vs Weaviate: key differences
Orama is written in TypeScript, while Weaviate is built with Go. Licensing differs — Apache-2.0 for Orama versus BSD-3-Clause for Weaviate. Orama is the lighter option, starting around 128 MB of RAM against 2,048 MB for Weaviate. Weaviate is the more established project (first released 2019), while Orama arrived in 2022. Weaviate lists first-class Docker deployment; Orama does not.
Why pick each one
Choose Orama if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- Mature project with 10.6k GitHub stars
- Written in TypeScript
Choose Weaviate if…
- Great for AI semantic search
- Easy to start
Watch out for
- Memory hungry with large datasets
Frequently asked questions
Is Orama or Weaviate better?
Neither is universally better. Weaviate has the larger community, while Orama is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Orama and Weaviate free and open-source?
Yes. Orama is licensed under Apache-2.0 and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run Orama and Weaviate with Docker?
Orama: check the project docs for container support. Weaviate: yes.
Which is lighter on resources, Orama or Weaviate?
Orama has the smaller minimum footprint at 128 MB of RAM, compared to about 2,048 MB for Weaviate. Real-world usage depends on library size, user count, and enabled features.