ORM for Kotlin: Comparison and Examples
Kotlin is a modern language actively used for developing backend applications, Android apps, and even cross-platform projects. To work with databases, developers often choose ORM (Object-Relational Mapping) to avoid writing raw SQL queries and speed up development. In this article, we will look at three popular ORM tools for Kotlin: Exposed, Ktor (in conjunction with Exposed), and Ktorm. We will compare their syntax, performance, and ease of use with practical examples.
1. Exposed — Official ORM from JetBrains
Exposed is an ORM library developed by JetBrains specifically for Kotlin. It supports two approaches: DSL (Domain Specific Language) and DAO (Data Access Objects). Exposed integrates perfectly with the Ktor framework but can also be used standalone.
Key Features:
- Lightweight and intuitive DSL syntax.
- Support for transactions, migrations, and connections.
- Works with PostgreSQL, MySQL, H2, SQLite, and other databases.
- Active community and official documentation.
Code Example (DSL approach):
import org.jetbrains.exposed.sql.*import org.jetbrains.exposed.sql.transactions.transaction
// Table definitionobject Users : Table() { val id = integer("id").autoIncrement() val name = varchar("name", 50) val age = integer("age")
override val primaryKey = PrimaryKey(id)}
// Query examplefun main() { Database.connect("jdbc:h2:mem:test", driver = "org.h2.Driver")
transaction { SchemaUtils.create(Users)
// Insert Users.insert { it[name] = "Alice" it[age] = 30 }
// Select val result = Users.selectAll().where { Users.age greater 25 } result.forEach { println("${it[Users.name]}: ${it[Users.age]}") } }}2. Ktor + Exposed — A Pair for Web Applications
Ktor is an asynchronous web framework for Kotlin. Although Ktor itself does not provide a built-in ORM, it works excellently in tandem with Exposed. This combination allows you to create REST APIs with minimal code.
Example of Ktor Integration with Exposed:
import io.ktor.server.application.*import io.ktor.server.routing.*import io.ktor.server.response.*import org.jetbrains.exposed.sql.*import org.jetbrains.exposed.sql.transactions.transaction
fun Application.module() { Database.connect("jdbc:h2:mem:test", driver = "org.h2.Driver")
routing { get("/users") { val users = transaction { Users.selectAll().map { mapOf("name" to it[Users.name], "age" to it[Users.age]) } } call.respond(users) } }}This approach is suitable for microservices and small projects where simplicity and development speed are important.
3. Ktorm — Lightweight and Performant ORM
Ktorm is another popular ORM for Kotlin, focused on performance and minimalism. It uses functional programming and supports both DSL and SQL-like syntax.
Key Features:
- High performance due to the absence of reflection.
- Support for extensions (e.g., for JSON fields).
- Simple configuration and minimal dependencies.
- Works with most popular DBMS.
Ktorm Code Example:
import me.liuwj.ktorm.database.Databaseimport me.liuwj.ktorm.dsl.*import me.liuwj.ktorm.entity.*
// Entity definitioninterface User : Entity { compan