Technology Comparison

Go vs Rust - Which Should You Use?

Comparing Go and Rust for your next project. Honest analysis of performance, ecosystem, and suitability for Australian businesses.

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Integrations Available

under 2 seconds

Average Load Time

98%

Client Retention

2 weeks

Prototype Delivery

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Our Development Capabilities

Custom-built solutions for your specific business needs.

Custom Web Applications

Bespoke web applications built from the ground up to solve your specific business problems. No off-the-shelf compromises.

CI/CD and DevOps

Automated testing, continuous integration, and deployment pipelines that keep your application reliable and easy to update.

Data Dashboards and Reporting

Custom analytics dashboards that give your team real-time visibility into business metrics and KPIs.

Security-First Development

OWASP-compliant development practices, encrypted data handling, and regular security audits built into every project.

Quick Comparison

Side-by-side comparison to help you decide.

Criterion	Go	Rust
Memory management	Garbage collected - simple for developers; GC pauses possible	Ownership and borrow checker - no GC; zero-cost memory safety at compile time
Concurrency model	Goroutines and channels - lightweight, idiomatic, excellent tooling	async/await with Tokio, or OS threads; more control, higher complexity
Compile time	Fast - Go compiles large codebases in seconds	Slow - Rust's borrow checker is thorough; large projects take minutes
Learning curve	Gentle - deliberately simple language design; productive in days	Steep - borrow checker and lifetimes take weeks to months to internalise
Systems-level capability	Not suitable for OS kernels, embedded, or no-alloc environments	First-class - unsafe code, no-std, FFI, WebAssembly, kernels all supported
Web services throughput	Excellent - Go HTTP servers are among the fastest with GC-acceptable latency	Excellent - Actix and Axum benchmarks top the TechEmpower charts

Our Verdict

Choose Go for web services, CLIs, and backend microservices where fast iteration and goroutine-based concurrency are the priorities. Go's simplicity and fast compile times make it the most productive systems language for web API work. Choose Rust where memory safety without GC is non-negotiable: WebAssembly compilation, game engines, embedded systems, OS components, or any context where a GC pause is unacceptable. For Australian teams building backend services, Go is almost always the pragmatic choice - Rust's steep learning curve and slow compile times exact a real productivity cost that is only justified by its unique capabilities.

Choose Go when:

✓ Backend microservice or API where goroutine concurrency and fast iteration matter
✓ CLI tool where a single static binary with fast startup is the goal
✓ DevOps tooling (Kubernetes operators, CI plugins) where Go is the ecosystem language
✓ Team productivity and hiring are priorities over maximum runtime performance

Choose Rust when:

✓ WebAssembly target where GC overhead is unacceptable
✓ Embedded systems or bare-metal code where no_std is required
✓ Performance-critical components where GC pauses cannot be tolerated
✓ Existing Rust codebase where language consistency is a priority

Frequently Asked Questions

Absolutely. You get 3 months of hands-on support after launch. For ongoing development, we offer flexible retainer packages tailored to your needs.

Every project is scoped individually based on complexity, integrations, and feature requirements. Most projects fall within our standard tiers. Book a free assessment to get a transparent, fixed-price quote.

Most projects deliver a working prototype in 2 weeks and complete within 4-8 weeks. Complex applications may take longer. We deliver in phases so you see value quickly.

It depends on your project requirements. Go and Rust each have strengths. Our detailed comparison above covers the trade-offs to help you decide.

Yes, our team has experience with both Go and Rust. We choose the right tool based on your project needs and recommend accordingly during our free assessment.

We primarily build with Next.js, React, TypeScript, and Node.js. We also work with Python, PostgreSQL, and various cloud platforms. We choose the best technology for your specific requirements.

Yes. We integrate with 150+ business tools and can build custom connectors for specialist software. Your new application will work seamlessly with your existing tech stack.