Virtual Machines vs Containers: Learn the Key Differences

Written By Anurag Soam Published On December 12, 2025 Reading Time 7 minutes Review By Net2secure Tech Team

Currently, several advanced applications are solely dependent on virtualization. It is a technique that enables running many environments on a single physical server. Virtualization has transformed how engineering teams build and deploy applications by improving resource allocation, improving security, and minimizing cost.

Virtualization is basically implemented through two technologies: virtual machines and containers. While both technologies are solid, they differ significantly in terms of benefits and use cases. Containers and virtual machines are two primary technologies that allow applications to run in isolated environments. While both offer benefits like resource management and portability, they differ significantly in their architecture, resource utilization, and use cases.

In this post, we will learn the main differences between virtual machines and containers, and assist you in selecting the best technology for implementing virtualization

What are Containers?

Containers are light in weight, portable, and self-contained executable images that contain software applications and their dependencies. They are used to deploy and run applications in a compatible way across multiple environments, like as development, staging, and production.

Containers are generally deployed from an image by using an orchestration platform, like Kubernetes. These platforms offer a way to handle and house containers at scale.

Containers have a number of advantages over traditional virtualization methods. As they are lighter and portable compared to VMs, containers support the decomposition of a monolith into microservices. In addition, containers are faster to handle and house than VMs, which can save time and money with application deployment.

Use Cases for Containers

• Microservices Architecture: Containers are ideal for applications using a microservice architecture, where each microservice acts as a specific function, like data storage or user authentication. Since containers are application-independent, they enable microservices to coexist while ensuring that concerns in one service do not impact others.

• Portability Across Environments: Containers make it easy for developers to move code from development to testing to production. They are created to package applications that operate successfully across various systems, which decreases compatibility issues.

What are Virtual Machines?

A virtual machine or guests indicate instances of an operating system co-located on a physical machine through the use of a hypervisor. Each VM has its own operating system, memory, and other resources, which are isolated from the other VMs on the same physical computer. It enables several operating systems to run on the same physical components without interfering with each other.

Virtual machines are created and managed using hypervisor software. A hypervisor refers to software that handles a physical computer’s resources and distributes them to virtual machines.

Use Cases of Virtual Machines

• Operating Legacy Applications: VMs are integral for operating legacy applications that need outdated operating systems,s. Since VMs can have their own operating system environments, teams can continue using their older applications that may not be compatible with the latest operating systems.

• Multi-OS Environments: VMs are highly effective when applications need to operate on different operating systems. For example, you can set up VMs to run Linux, Windows, and other operating systems on the same physical machine.

Understanding the Difference Between Containers and VMs

As discussed, virtual machines access the hardware of a physical machine through a hypervisor. The hypervisor created an extra layer enabling the VM to access CPU, memory, and storage.

On the contrary, containers represent a package that includes an executable with the dependencies it requires to run. It means that each container shares the physical machine's hardware and operating system kernel with other containers.

As a result, virtual machines are generally more resource-intensive compared to containers. However, virtual machines also offer a solid level of isolation, which is crucial for security and compliance reasons. Here's the comparison chart to understand the main difference clearly.

Containers vs Virtual Machines: Which One Should You Choose?

Considering containers and virtual machines depends on your work application needs, infrastructure, security needs, and deployment. While containers are generally faster and lighter, virtual machines provide stronger isolation and greater flexibility at the operating-system level.

Performance and Resource Utilization

Containers usually require fewer resources because they share the host operating system kernel. This allows multiple containers to run on the same server with less overhead. They can also start and stop quickly, making them suitable for applications that need rapid deployment and frequent scaling.

Virtual machines require more resources because each VM runs a complete operating system. The additional OS layer increases memory and storage consumption. However, this overhead also provides greater separation between workloads and allows each VM to run independently. 

Security and Isolation

Security is another important factor when selecting between the two technologies. Virtual machines provide strong isolation because each workload runs within its own virtualized operating system environment. This makes VMs suitable for workloads that require strict isolation, compliance controls, or support for different operating systems.

Containers provide process-level isolation while sharing the host kernel. Although modern container technologies offer strong security features, their shared-kernel architecture means organizations must properly configure container permissions, images, networking, and runtime security. 

Scalability and Deployment

Containers are particularly useful for modern applications that need to scale quickly. When combined with orchestration platforms such as Kubernetes, organizations can automate container deployment, scaling, networking, and workload management.

VMs can also be scaled and automated using cloud platforms and virtualization management tools. However, creating or starting a VM generally requires more resources and time than deploying a container. This makes containers a popular choice for cloud-native and microservices-based applications.

Cost Considerations

Containers can help reduce infrastructure costs by allowing more workloads to run on the same physical resources. Their lightweight architecture makes better use of CPU and memory, particularly when running multiple small services.

VMs may require more computing resources because every instance includes a complete operating system. However, the additional resource requirement can be justified when workloads need stronger isolation, dedicated environments, or support for different operating systems.

When Should You Use Containers or VMs?

Choose containers when you need:

• Fast application deployment and startup
• Lightweight and portable workloads
• Microservices-based applications
• Frequent scaling and updates
• Consistent development, testing, and production environments

Choose virtual machines when you need:

• Strong workload isolation
• Support for different operating systems
• Compatibility with legacy applications
• Dedicated operating system environments
• Greater control over the virtualized infrastructure 

There is no single technology that is ideal for every workload. Many modern cloud environments use both approaches, selecting containers for application workloads and VMs for workloads that require operating-system-level isolation or specific infrastructure requirements. 

Is it possible to use containers and virtual machines together?

Yes, it is completely possible to use containers and virtual machines simultaneously. A virtual machine can be created that emulates an exceptional hardware configuration. An operating system can then be installed within this virtual machine’s hardware. Once the virtual machine is functional and boots the operating system, a container runtime can be installed on the operating system. At this point, we have a functional computational system with emulated hardware that we can install containers on.

Thus, portable containers have altered the way we create and deploy software by making everything faster. However, virtual machines are still very crucial in several situations. In corporate environments where security, compatibility, and reliability matter the most. VMs remain the better choice.

By Anurag Soam

A skilled Technical Content Writer with an unwavering dedication to covering complex concepts and specializing in writing explicit, concise, and SEO-friendly content for diverse audiences. With a solid background in technology, including SaaS, PaaS, IaaS, Documentation, Cloud, Cybersecurity, and DevOps, he’s an expert in curating content that enhances user experience and facilitates product success. He’s constantly updated on the latest industry trends and tools to deliver qualitative technical content.

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