Virtual Machine Databases vs Containerized Databases

Developers should learn about Virtual Machine Databases when deploying databases in cloud environments (e meets developers should use containerized databases to streamline development workflows, ensure consistency between development, testing, and production environments, and facilitate microservices architectures. Here's our take.

Virtual Machine Databases

Nice Pick

Developers should learn about Virtual Machine Databases when deploying databases in cloud environments (e

Pros

• g
• Related to: virtualization, cloud-computing

Cons

• Specific tradeoffs depend on your use case

Containerized Databases

Developers should use containerized databases to streamline development workflows, ensure consistency between development, testing, and production environments, and facilitate microservices architectures

Pros

• This is particularly valuable for cloud-native applications, CI/CD pipelines, and scenarios requiring rapid scaling or multi-cloud deployments, as it reduces environment-specific issues and simplifies database management through orchestration tools
• Related to: docker, kubernetes

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Virtual Machine Databases is a platform while Containerized Databases is a concept. We picked Virtual Machine Databases based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Virtual Machine Databases wins

Based on overall popularity. Virtual Machine Databases is more widely used, but Containerized Databases excels in its own space.