Virtual Machine Databases vs Serverless Databases
Developers should learn about Virtual Machine Databases when deploying databases in cloud environments (e meets developers should use serverless databases for applications with variable or unpredictable workloads, such as web apps, mobile backends, or iot systems, to avoid over-provisioning and reduce costs. Here's our take.
Virtual Machine Databases
Developers should learn about Virtual Machine Databases when deploying databases in cloud environments (e
Virtual Machine Databases
Nice PickDevelopers 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
Serverless Databases
Developers should use serverless databases for applications with variable or unpredictable workloads, such as web apps, mobile backends, or IoT systems, to avoid over-provisioning and reduce costs
Pros
- +They are ideal for rapid prototyping, microservices architectures, and scenarios where operational overhead needs minimization, as they eliminate server management tasks like patching and capacity planning
- +Related to: aws-aurora-serverless, google-cloud-firestore
Cons
- -Specific tradeoffs depend on your use case
The Verdict
These tools serve different purposes. Virtual Machine Databases is a platform while Serverless Databases is a database. We picked Virtual Machine Databases based on overall popularity, but your choice depends on what you're building.
Based on overall popularity. Virtual Machine Databases is more widely used, but Serverless Databases excels in its own space.
Disagree with our pick? nice@nicepick.dev