Rust was designed for systems programming: operating systems, game engines, embedded devices. In 2026, it is increasingly used for web backends, build tools, and even frontend tooling.
Where Rust Is Used in Web Development
Build Tools (JavaScript/TypeScript Ecosystem)
- Turbopack: Next.js bundler (written in Rust)
- SWC: TypeScript/JavaScript compiler (replaces Babel)
- Biome: Linter and formatter (replaces ESLint + Prettier)
- Rspack: Webpack-compatible bundler
- Oxc: JavaScript parser, linter, formatter
- Lightning CSS: CSS parser and minifier
Web Frameworks
- Actix Web: High-performance HTTP framework
- Axum: Tokio-based framework by the Tokio team
- Rocket: Developer-friendly web framework
- Leptos: Full-stack Rust framework (like React, but Rust)
Databases and ORMs
- SeaORM: Async ORM for Rust
- Diesel: Query builder and ORM
- SQLx: Compile-time checked SQL queries
- SurrealDB: Multi-model database (written in Rust)
- Turso/libSQL: SQLite fork (written in Rust)
Infrastructure
- Cloudflare Workers: Runs Rust via WASM
- Shuttle.rs: Rust cloud platform
- Deno: JavaScript runtime (written in Rust)
- Tauri: Desktop app framework (replaces Electron)
Why Rust for Web
- Performance: 10-100x faster than Node.js for compute-heavy tasks
- Memory safety: No garbage collector, no runtime panics (if it compiles, it is memory-safe)
- Reliability: Compiler catches bugs that unit tests miss
- Low resource usage: Smaller containers, less memory, cheaper hosting
- Concurrency: Fearless concurrency with Tokio async runtime
Performance Comparison
| Task | Node.js | Go | Rust |
|---|---|---|---|
| HTTP requests/second | 60K | 200K | 300K+ |
| JSON serialization | 15 MB/s | 50 MB/s | 100+ MB/s |
| Memory usage (web server) | 40 MB | 15 MB | 5 MB |
| Startup time | 40ms | 5ms | 2ms |
Challenges
- Learning curve: Rust's ownership model takes time to learn
- Compilation speed: Slower than Go or TypeScript
- Ecosystem maturity: Fewer web-specific libraries than Node.js
- Hiring: Fewer Rust web developers available
- Productivity: Initial development is slower (faster long-term)
Our View
We use Rust indirectly through the tools built with it (Turbopack, SWC, Biome, Tauri). For web application backends, TypeScript on Node.js remains our choice because developer productivity and ecosystem breadth outweigh raw performance for most use cases. For performance-critical services (image processing, data transformation, real-time systems), Rust is compelling.