KiteSQL is a lightweight embedded relational database written in Rust, inspired by MyRocks and SQLite. It runs inside your application with no external service: execute SQL directly, or use typed ORM models, migrations, and builder-style queries.
- Most of the SQL 2016 syntax
- All metadata and data stored in KV storage (RocksDB, LMDB, or in-memory)
- Typed ORM with schema migration (
ormfeature), seesrc/orm/README.md - WebAssembly and Python bindings
use kite_sql::db::DataBaseBuilder;
use kite_sql::errors::DatabaseError;
use kite_sql::orm::OrmQueryResultExt;
use kite_sql::Model;
#[derive(Default, Debug, PartialEq, Model)]
#[model(table = "users")]
struct User {
#[model(primary_key)]
id: i32,
#[model(varchar = 64)]
name: String,
#[model(default = "18", index)]
age: Option<i32>,
}
fn main() -> Result<(), DatabaseError> {
let mut database = DataBaseBuilder::path("./data").build_rocksdb()?;
database.migrate::<User>()?;
database.insert_many([
User { id: 1, name: "Alice".to_string(), age: Some(18) },
User { id: 2, name: "Bob".to_string(), age: Some(24) },
])?;
let users = database
.bind(|ctx| {
ctx.from::<User>()?
.filter(|e| e.column(User::age())?.gte(18))?
.project_scalars((User::id(), User::name()))?
.order_by(User::name())?
.finish()
})?
.project_tuple::<(i32, String)>();
for user in users {
println!("{:?}", user?);
}
// Plain SQL works too.
database.run("select count(*) from users")?.done()?;
Ok(())
}More: hello_world, transaction.
| Builder | Storage |
|---|---|
build_rocksdb() |
RocksDB (default feature rocksdb), stronger for write-heavy workloads |
build_lmdb() |
LMDB (feature lmdb), stronger for read-heavy workloads |
build_in_memory() |
In-memory, for tests and temporary data |
build_optimistic() |
RocksDB with optimistic transactions |
Feature flags, checkpoints, and transaction isolation: docs/features.md, docs/transaction-isolation.md.
cargo run --bin kitesql-shell
cargo run --bin kitesql-shell -- -e "select 1"Type .help for metacommands.
wasm-pack build --release --target nodejsimport { WasmDatabase } from "./pkg/kite_sql.js";
const db = new WasmDatabase();
await db.ddl("create table demo(id int primary key, v int)");
console.log(db.run("select * from demo").rows());Requires the python feature.
import kite_sql
db = kite_sql.Database.in_memory() # or Database(path, backend="lmdb")
db.execute("create table demo(id int primary key, v int)")
print(list(db.run("select * from demo")))make tpcc runs the benchmark (--backend rocksdb|lmdb); make tpcc-dual cross-checks every statement against SQLite.
720-second single-thread run on an i9-13900HX (32 GB, KIOXIA EXCERIA PLUS G3), every backend pinned to the same P-core. Latencies are p90 in µs, including commit.
| Backend | TpmC | New-Order | Payment | Order-Status | Delivery | Stock-Level |
|---|---|---|---|---|---|---|
| KiteSQL LMDB | 159616 | 315 | 81 | 44 | 435 | 332 |
| KiteSQL RocksDB | 48035 | 459 | 258 | 200 | 11055 | 704 |
| SQLite balanced | 67102 | 283 | 67 | 48 | 338 | 473 |
| SQLite practical | 67153 | 336 | 66 | 41 | 427 | 339 |
👉 Details and how to reproduce
- Get SQL 2016 mostly supported
- LLVM JIT: Perf: TPCC
KiteSQL uses the Apache 2.0 license to strike a balance between open contributions and allowing you to use the software however you want.