Database Virtual Machines vs Containerized Databases

Developers should use Database Virtual Machines when they need to deploy database servers 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.

Database Virtual Machines

Nice Pick

Developers should use Database Virtual Machines when they need to deploy database servers in cloud environments (e

Pros

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• 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. Database Virtual Machines is a platform while Containerized Databases is a concept. We picked Database Virtual Machines based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Database Virtual Machines wins

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