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Pekka Enberg
2025-08-13 13:24:00 +03:00
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</p>
<p align="center">
<i>Turso Database</i> is an in-process SQL database, compatible with SQLite.
An in-process SQL database, compatible with SQLite.
</p>
<p align="center">
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---
## Features
## About
Turso Database is a _work-in-progress_, in-process OLTP database engine library written in Rust that has:
Turso Database is an in-process SQL database written in Rust, compatible with SQLite.
> **⚠️ Warning:** This software is ALPHA, only use for development, testing, and experimentation. We are working to make it production ready, but do not use it for critical data right now.
>
## Features and Roadmap
* **SQLite compatibility** for SQL dialect, file formats, and the C API [see [document](COMPAT.md) for details]
* **Change data capture (CDC)** for real-time tracking of database changes.
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* [Rust](bindings/rust)
* [WebAssembly](bindings/javascript)
* **Asynchronous I/O** support on Linux with `io_uring`
* **OS support** for Linux, macOS, and Windows
* **Cross-platform** support for Linux, macOS, Windows and browsers (through WebAssembly)
* **Vector support** support including exact search and vector manipulation
* **Improved schema management** including extended `ALTER` support and faster schema changes.
### Roadmap
The database has the following experimental features:
* **`BEGIN CONCURRENT`** for improved write throughput using multi-version concurrency control (MVCC).
* **Incremental computation** using DBSP for incremental view mainatenance and query subscriptions.
The following features are on our current roadmap:
* **`BEGIN CONCURRENT`** for improved write throughput using multi-version concurrency control (MVCC).
* **Better schema management**, including extended `ALTER` support, faster schema changes, and strict column types by default.
* **Incremental computation** using DBSP to implement query subscriptions, incremental view maintenance, and triggers.
* **Vector indexing** for fast approximate vector search, similar to [libSQL vector search](https://turso.tech/vector).
## Getting Started