Struggling to choose between OpenVZ and Docker? Both products offer unique advantages, making it a tough decision.
OpenVZ is a Os & Utilities solution with tags like containers, virtualization, linux.
It boasts features such as OS-level virtualization, Resource isolation, Overcommitting of physical resources, Live migration of containers, Templates for fast deployment and pros including Lightweight and efficient, Good performance, Easy to manage, Scalable.
On the other hand, Docker is a Development product tagged with containers, virtualization, docker.
Its standout features include Containerization - Allows packaging application code with dependencies into standardized units, Portability - Containers can run on any OS using Docker engine, Lightweight - Containers share the host OS kernel and do not require a full OS, Isolation - Each container runs in isolation from others on the host, Scalability - Easily scale up or down by adding or removing containers, Versioning - Rollback to previous versions of containers easily, Sharing - Share containers through registries like Docker Hub, and it shines with pros like Portable deployment across environments, Improved resource utilization, Faster startup times, Microservices architecture support, Simplified dependency management, Consistent development and production environments.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
OpenVZ is an open source container-based virtualization platform for Linux. It allows multiple isolated virtual containers to run on a single physical server, sharing the same Linux kernel.
Docker is an open platform for developing, shipping, and running applications. It allows developers to package applications into containers—standardized executable components combining application source code with the operating system (OS) libraries and dependencies required to run that code in any environment.