How does SeaORM compare to Diesel?

SeaORM offers a more batteries-included experience with built-in async support, nested persistence, and GraphQL integration via Seaography, whereas Diesel focuses on compile-time safety and raw performance with a more SQL-centric approach. For teams needing advanced ORM features without sacrificing Rust's safety, SeaORM is often preferred.

Is SeaORM async or does it have sync support?

SeaORM is primarily async for web services but provides full synchronous API via the separate sea-orm-sync crate, ideal for CLI programs or environments without an async runtime. The README shows a quickstart example for sync usage with SQLite.

How to generate a GraphQL API from SeaORM entities?

Use Seaography, a companion framework that automatically builds GraphQL resolvers from SeaORM entities with filters and pagination. The README includes a Seaography example with a bakery schema for quick setup.

What databases does SeaORM support?

It natively supports PostgreSQL, MySQL, and SQLite, with SQL Server available through the commercial SeaORM-X extension. The ergonomic raw SQL feature ensures compatibility with complex queries across these backends.

How to prevent N+1 query problems in SeaORM?

Leverage the Smart Entity Loader by using methods like .with() for eager loading, which automatically uses joins or data loaders as shown in the code example. This optimizes nested relational queries without manual intervention.

Is SeaORM production-ready?

Yes, with over 250k weekly downloads and use by projects like Zed and OpenObserve, it's considered production-ready. The README emphasizes trust from startups and enterprises, backed by comprehensive testing and examples.

Open-Awesome

sea-orm

Apache-2.0Rust2.0.0-rc.38

A powerful, async relational ORM for Rust with advanced relations, nested persistence, and GraphQL integration.

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9.7k stars705 forks0 contributors

What is sea-orm?

SeaORM is a relational Object-Relational Mapping library for Rust that provides a high-level, async interface for interacting with databases like PostgreSQL, SQLite, and MySQL. It solves the problem of writing repetitive and error-prone SQL by offering a type-safe, expressive API for modeling relationships, performing queries, and handling migrations. It is designed to accelerate the development of REST, GraphQL, and gRPC APIs.

Target Audience

Rust developers building data-intensive web services, backends, or applications that require complex database interactions and relationships. It is particularly suited for teams seeking a production-ready ORM with features like nested persistence and GraphQL integration.

Value Proposition

Developers choose SeaORM for its advanced relationship modeling, performance optimizations like the Smart Entity Loader to prevent N+1 queries, and its comprehensive feature set including migrations, raw SQL support, and seamless integration with popular Rust web frameworks. Its philosophy of being 'batteries-included' reduces boilerplate and accelerates development.

Overview

🐚 A powerful relational ORM for Rust

Use Cases

Best For

Building async web services in Rust with Actix, Axum, or Rocket
Modeling complex database relationships (1-1, 1-N, M-N) in a type-safe way
Generating and auto-syncing database schemas from Rust entity definitions
Eliminating N+1 query problems in nested relational data loads
Persisting nested object graphs (e.g., user with profile, posts, and tags) in a single transaction
Creating GraphQL APIs quickly from existing SeaORM entities using Seaography

Not Ideal For

Projects requiring commercial-grade SQL Server support without additional licensing, as it's offered separately via SeaORM-X based on an older version
Teams already deeply integrated with alternative Rust ORMs like Diesel, where migration effort outweighs benefits
Applications with extreme low-latency database queries where hand-optimized SQL is preferred over ORM abstraction
Lightweight CLI tools or embedded systems where a minimal dependency footprint is critical, despite the synchronous option

Pros & Cons

Pros

Advanced Relationship Modeling

Handles 1-1, 1-N, M-N, and self-referential relationships with high-level abstractions, as shown in the entity format examples, making complex data schemas intuitive to define.

Smart Entity Loader

Intelligently uses joins for 1-1 and data loaders for 1-N relations to eliminate N+1 queries in nested loads, demonstrated in the code snippet with only three queries for a user with profile and posts.

Nested Persistence Simplicity

ActiveModel allows persisting entire object graphs like user, profile, posts, and tags in a single save() operation with automatic dependency resolution, reducing transactional boilerplate.

Entity-First Workflow

Enables automatic schema creation and synchronization from Rust entities when using the entity-registry feature, streamlining database migrations as highlighted in the 2.0 blog posts.

Cons

Commercial SQL Server Limitation

SQL Server support is locked behind SeaORM-X, a commercial offering based on SeaORM 1.0, creating fragmentation and added cost for enterprises needing MSSQL compatibility.

Breaking Changes Overhead

SeaORM 2.0 introduces breaking changes requiring a migration guide, which can disrupt existing projects and increase maintenance effort, as admitted in the release notes.

Feature Flag Complexity

Core functionalities like entity-registry and schema-sync require enabling specific feature flags, adding setup steps and potential confusion for new users beyond basic usage.

Frequently Asked Questions

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