
兼容 SQLite 的进程内 SQL 数据库,提供高性能嵌入式存储方案。
今日 stars 增长 774,可能因开发者对轻量级嵌入式数据库需求上升,且兼容 SQLite 降低迁移门槛。
为国内开发者提供高性能嵌入式数据库选项,适合边缘计算和移动端场景,减少对外部数据库依赖。
适合移动应用、边缘计算、无服务器环境等需要轻量嵌入式数据库的场景。
An in-process SQL database, compatible with SQLite.
Turso Database is an in-process SQL database written in Rust, compatible with SQLite.
⚠️ Warning: This software is in BETA. It may still contain bugs and unexpected behavior. Use caution with production data and ensure you have backups.
BEGIN CONCURRENT for improved write throughput using multi-version concurrency control (MVCC).io_uringALTER support and faster schema changes.The database has the following experimental features:
.tshm sidecar for cross-process WAL readers and writers.The following features are on our current roadmap:
Please see the Turso Database Manual for more information.
curl --proto '=https' --tlsv1.2 -LsSf \
https://github.com/tursodatabase/turso/releases/latest/download/turso_cli-installer.sh | sh
Then launch the interactive shell:
$ tursodb
This will start the Turso interactive shell where you can execute SQL statements:
Turso
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database
turso> CREATE TABLE users (id INT, username TEXT);
turso> INSERT INTO users VALUES (1, 'alice');
turso> INSERT INTO users VALUES (2, 'bob');
turso> SELECT * FROM users;
1|alice
2|bob
You can also build and run the latest development version with:
cargo run
If you like docker, we got you covered. Simply run this in the root folder:
make docker-cli-build && \
make docker-cli-run
cargo add turso
Example usage:
let db = Builder::new_local("sqlite.db").build().await?;
let conn = db.connect()?;
let res = conn.query("SELECT * FROM users", ()).await?;
npm i @tursodatabase/database
Example usage:
import { connect } from '@tursodatabase/database';
const db = await connect('sqlite.db');
const stmt = db.prepare('SELECT * FROM users');
const users = stmt.all();
console.log(users);
uv pip install pyturso
Example usage:
import turso
con = turso.connect("sqlite.db")
cur = con.cursor()
res = cur.execute("SELECT * FROM users")
print(res.fetchone())
go get turso.tech/database/tursogo
go install turso.tech/database/tursogo
Example usage:
import (
"database/sql"
_ "turso.tech/database/tursogo"
)
conn, _ = sql.Open("turso", "sqlite.db")
defer conn.Close()
stmt, _ := conn.Prepare("select * from users")
defer stmt.Close()
rows, _ = stmt.Query()
for rows.Next() {
var id int
var username string
_ := rows.Scan(&id, &username)
fmt.Printf("User: ID: %d, Username: %s\n", id, username)
}
Example usage:
using Turso;
using var connection = new TursoConnection("Data Source=:memory:");
connection.Open();
connection.ExecuteNonQuery("CREATE TABLE t(a, b)");
var rowsAffected = connection.ExecuteNonQuery("INSERT INTO t(a, b) VALUES (1, 2), (3, 4)");
Console.WriteLine($"RowsAffected: {rowsAffected}");
using var command = connection.CreateCommand();
command.CommandText = "SELECT * FROM t";
using var reader = command.ExecuteReader();
while (reader.Read())
{
var a = reader.GetInt32(0);
var b = reader.GetInt32(1);
Console.WriteLine($"Value1: {a}, Value2: {b}");
}
We integrated Turso Database into JDBC. For detailed instructions on how to use Turso Database with java, please refer to the README.md under bindings/java.
The Turso CLI includes a built-in Model Context Protocol (MCP) server that allows AI assistants to interact with your databases.
Start the MCP server with:
tursodb your_database.db --mcp
Add Turso to your MCP client configuration:
{
"mcpServers": {
"turso": {
"command": "/path/to/.turso/tursodb",
"args": ["/path/to/your/database.db", "--mcp"]
}
}
}
The MCP server provides nine tools for database interaction:
open_database - Open a new databasecurrent_database - Describe the current databaselist_tables - List all tables in the databasedescribe_table - Describe the structure of a specific tableexecute_query - Execute read-only SELECT queriesinsert_data - Insert new data into tablesupdate_data - Update existing data in tablesdelete_data - Delete data from tablesschema_change - Execute schema modification statements (CREATE TABLE, ALTER TABLE, DROP TABLE)Once connected, you can ask your AI assistant:
If you're using Claude Code, you can easily connect to your Turso MCP server using the built-in MCP management commands:
Add the MCP server to Claude Code:
claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp
Restart Claude Code to activate the connection
Start querying your database through natural language!
claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp
# ↑ ↑ ↑ ↑
# | | | |
# Name | Database path MCP flag
# Separator
my-database - Choose any name for your MCP server-- - Required separator between Claude options and your commandtursodb - The Turso database CLI./path/to/your/database.db - Path to your SQLite database file--mcp - Enables MCP server mode# For a local project database
cd /your/project
claude mcp add my-project-db -- tursodb ./data/app.db --mcp
# For an absolute path
claude mcp add analytics-db -- tursodb /Users/you/databases/analytics.db --mcp
# For a specific project (local scope)
claude mcp add project-db --local -- tursodb ./database.db --mcp
# List all configured MCP servers
claude mcp list
# Get details about a specific server
claude mcp get my-database
# Remove an MCP server
claude mcp remove my-database
For Claude Desktop, add the configuration to your claude_desktop_config.json file:
{
"mcpServers": {
"turso": {
"command": "/path/to/.turso/tursodb",
"args": ["./path/to/your/database.db.db", "--mcp"]
}
}
}
For Cursor, configure MCP in your settings:
turso/path/to/.turso/tursodb["./path/to/your/database.db.db", "--mcp"]Alternatively, you can add it to your Cursor configuration file directly.
The MCP server runs as a single process that handles multiple JSON-RPC requests over stdin/stdout. Here's how to interact with it directly:
cat << 'EOF' | tursodb --mcp
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "client", "version": "1.0"}}}
{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "schema_change", "arguments": {"query": "CREATE TABLE users (id INTEGER, name TEXT, email TEXT)"}}}
{"jsonrpc": "2.0", "id": 3, "method": "tools/call", "params": {"name": "list_tables", "arguments": {}}}
{"jsonrpc": "2.0", "id": 4, "method": "tools/call", "params": {"name": "insert_data", "arguments": {"query": "INSERT INTO users VALUES (1, 'Alice', 'alice@example.com')"}}}
{"jsonrpc": "2.0", "id": 5, "method": "tools/call", "params": {"name": "execute_query", "arguments": {"query": "SELECT * FROM users"}}}
EOF
# Working with an existing database file
cat << 'EOF' | tursodb mydb.db --mcp
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "client", "version": "1.0"}}}
{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "list_tables", "arguments": {}}}
EOF
We'd love to have you contribute to Turso Database! Please check out the contribution guide to get started.
Turso powers production apps today. That includes Turso Cloud, the Kin AI assistant, and Spice.ai. However, it is still under active development and for mission-critical applications, caution is advised. Independent backups are encouraged. Turso is extensively tested by a collection of tools including a native Deterministic Simulation Testing suite and Antithesis, so we are generally confident in the end result. But our bar is SQLite-level reliability, and we will still recommend caution until we are confident it meets that bar.
Turso Database is a project to build the next evolution of SQLite in Rust, with a strong open contribution focus and features like native async support, vector search, and more. The libSQL project is also an attempt to evolve SQLite in a similar direction, but through a fork rather than a rewrite.
Rewriting SQLite in Rust started as an unassuming experiment, and due to its incredible success, replaces libSQL as our intended direction. At this point, libSQL is production ready, Turso Database is not - although it is evolving rapidly. More details here.
This project is licensed under the MIT license.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in Turso Database by you, shall be licensed as MIT, without any additional terms or conditions.
Thanks to all the partners of Turso!
Thanks to all the contributors to Turso Database!
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