Docker vs Virtual Machines - Which Should You Use?
Comparing Docker and Virtual Machines for your next project. Honest analysis of performance, ecosystem, and suitability for Australian businesses.
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Quick Comparison
Side-by-side comparison to help you decide.
| Criterion | Docker | Virtual Machines |
|---|---|---|
| Startup time | Milliseconds to seconds - shared kernel; no OS boot required | Minutes - full OS boot, hardware emulation or hypervisor overhead |
| Resource density | High - dozens of containers on hardware that runs 2-3 VMs | Low - each VM requires dedicated OS memory and CPU overhead |
| Isolation level | Process-level isolation - shared kernel; container escape is a known attack surface | Hardware-level isolation - VM escape is extremely difficult |
| Portability | High - Dockerfile is portable across any Docker-capable host | Moderate - VM images are large and hypervisor-dependent (VMware, KVM, Hyper-V) |
| Persistent storage | Volumes required; containers are ephemeral by design | Persistent disk is native; stateful workloads are straightforward |
| Windows workloads | Linux containers are native; Windows containers are possible but less common | Windows VMs are native on Hyper-V and VMware - full compatibility |
Our Verdict
Choose Docker containers for application workloads - web servers, APIs, microservices, background workers. The density, portability, and deployment speed advantages over VMs are decisive for most application tiers. VMs remain the right choice for workloads that require full OS isolation (running untrusted code, strong multi-tenancy security requirements), legacy applications that cannot be containerised, or Windows applications where Linux containers are not an option. In practice, most production systems use both: containers running inside VMs (EC2 instances, Azure VMs) managed by Kubernetes or ECS.
Choose Docker when:
- ✓ Deploying web applications, APIs, or microservices - containers are the modern standard
- ✓ Local development environments via Docker Compose - consistent across all developer machines
- ✓ CI/CD pipelines where fast image builds and ephemeral test environments are needed
- ✓ Kubernetes workloads - all K8s pods run containers
Choose Virtual Machines when:
- ✓ Running untrusted or multi-tenant compute where hardware-level isolation is a security requirement
- ✓ Legacy applications that cannot be containerised without significant refactoring
- ✓ Windows Server workloads that require full Windows OS compatibility
- ✓ Database servers where VM-level disk persistence is simpler to reason about
Frequently Asked Questions
Our core stack is Next.js, React, and TypeScript, but we select technology based on your project needs. We have experience with Python, Node.js, PostgreSQL, and all major cloud platforms.
Timelines depend on scope, but most projects go from kickoff to launch in 4-8 weeks. A working prototype is ready within the first 2 weeks for early feedback.
Pricing depends on what you need - a simple web app costs less than a complex system with multiple integrations. We provide fixed-price proposals after a free discovery session.
We specialise in integration. Whether it is your CRM, accounting software, or industry-specific tools, we connect your new application to your existing systems.
Yes, our team has experience with both Docker and Virtual Machines. We choose the right tool based on your project needs and recommend accordingly during our free assessment.
It depends on your project requirements. Docker and Virtual Machines each have strengths. Our detailed comparison above covers the trade-offs to help you decide.
Yes. Every project includes 3 months of post-launch support covering bug fixes, performance tuning, and minor feature additions. We also offer ongoing retainer plans.
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