lnx vs Tantivy
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | lnx | Tantivy |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 34 · At risk | 94 · Excellent |
| Category | Search Engines | Search Engines |
| License | MIT | MIT |
| Language | Rust | Rust |
| Setup difficulty | Medium | Hard |
| Min. RAM | 512 MB | 128 MB |
| Deployment | docker, binary, source | source, binary |
| GitHub stars | ★ 1,454 | ★ 16,133 |
| First released | 2021 | 2016 |
| Replaces | Elasticsearch, Algolia | Elasticsearch |
What are lnx and Tantivy?
lnx
lnx is an open-source search engine server built on top of the Tantivy library that exposes a simple REST API for indexing and querying documents. It aims to be a fast, easy-to-deploy alternative for full-text search.
- Built on Tantivy
- Simple REST API
- Fast full-text search
- Typo-tolerant queries
Tantivy
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust. It is the foundation for several search engines and can be embedded directly into applications.
- Lucene-like full-text indexing
- Embeddable search library
- Fast and memory efficient
- Powers Quickwit and others
lnx vs Tantivy: key differences
Both projects are written in Rust. Tantivy is the lighter option, starting around 128 MB of RAM against 512 MB for lnx. Tantivy is the more established project (first released 2016), while lnx arrived in 2021. Tantivy has the considerably larger community, at 16,133 GitHub stars versus 1,454. Lnx lists first-class Docker deployment; Tantivy does not.
Why pick each one
Choose lnx if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Active community (1.5k GitHub stars)
- Written in Rust
Choose Tantivy if…
- Very fast
- Embeddable in apps
Watch out for
- Library, not a turnkey server
Frequently asked questions
Is lnx or Tantivy better?
Neither is universally better. Tantivy has the larger community, while lnx is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are lnx and Tantivy free and open-source?
Yes. lnx is licensed under MIT and Tantivy under MIT. Both can be self-hosted at no software cost.
Can I run lnx and Tantivy with Docker?
lnx: yes. Tantivy: check the project docs for container support.
Which is lighter on resources, lnx or Tantivy?
Tantivy has the smaller minimum footprint at 128 MB of RAM, compared to about 512 MB for lnx. Real-world usage depends on library size, user count, and enabled features.