# Meilisearch vs Typesense

> Pick Meilisearch for the easiest instant search with great defaults and on-disk indexes; pick Typesense for an in-memory engine with built-in Raft clustering for high availability.

## Verdict

Meilisearch is the friendlier starting point: a single Rust binary, typo tolerance and relevancy that work out of the box, and indexes stored on disk. Typesense keeps the whole index in RAM for consistently fast queries and ships open-source multi-node clustering, so it suits production search that needs high availability on self-hosted nodes.

- Best for Meilisearch: Developers adding search-as-you-type to an app with minimal tuning
- Best for Typesense: Production search clusters that need built-in high availability

## Key differences

| Aspect | Meilisearch | Typesense |
|---|---|---|
| License | MIT for the core; Enterprise Edition parts under BUSL-1.1 | GPL-3.0 |
| Language/stack | Rust | C++ |
| Storage model | Indexes on disk in memory-mapped files (LMDB), so datasets can exceed RAM | Indexes held in RAM; the docs size memory to the dataset |
| High availability | Single node in the community edition; sharding falls under the Enterprise Edition | Built-in Raft-based clustering in the open-source release |
| Standout features | Typo tolerance, faceting, hybrid keyword and vector search | Typo tolerance, faceting, vector and semantic search, conversational search |

## GitHub numbers

| Metric | Meilisearch | Typesense |
|---|---|---|
| GitHub stars | 59,497 | 26,631 |
| Forks | 2,722 | 987 |
| Commits, last 12 months | 1,966 | 176 |
| Last commit | Oct 5, 2026 | Oct 5, 2026 |
| Latest release | v1.54.3 | v30.2 |
| License | MIT | GPL-3.0 |
| License type | Open source | Open source |
| Language | Rust | C++ |
| Docker image | Yes | Yes |
| Repository | https://github.com/meilisearch/meilisearch | https://github.com/typesense/typesense |

App pages: [Meilisearch](https://appsgit.com/apps/meilisearch), [Typesense](https://appsgit.com/apps/typesense)

## FAQ

### Which is faster?

Both are built for sub-second search-as-you-type. Typesense serves from memory, while Meilisearch reads memory-mapped files from disk, so results depend on your dataset and hardware.

### Do both support vector search?

Yes. Both offer vector and hybrid search and can generate embeddings with built-in or external models.

### Are they free to self-host?

Yes. Meilisearch's core is MIT with some enterprise features under BUSL-1.1, and Typesense is GPL-3.0. Both also sell managed cloud versions.

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Canonical page: https://appsgit.com/compare/meilisearch-vs-typesense
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