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Amazon Aurora Provisioned vs Amazon Aurora Serverless

Developers should use Amazon Aurora Provisioned for production workloads with steady, predictable traffic where performance and high availability are critical, such as e-commerce platforms, enterprise applications, or financial systems meets developers should use amazon aurora serverless for applications with unpredictable or variable database usage patterns, such as development and test environments, low-traffic applications, or applications with periodic spikes in demand. Here's our take.

🧊Nice Pick

Amazon Aurora Provisioned

Developers should use Amazon Aurora Provisioned for production workloads with steady, predictable traffic where performance and high availability are critical, such as e-commerce platforms, enterprise applications, or financial systems

Amazon Aurora Provisioned

Nice Pick

Developers should use Amazon Aurora Provisioned for production workloads with steady, predictable traffic where performance and high availability are critical, such as e-commerce platforms, enterprise applications, or financial systems

Pros

  • +It is ideal when you need the reliability of a traditional relational database with AWS-managed operations, automated backups, and multi-AZ deployments for disaster recovery
  • +Related to: amazon-aurora-serverless, amazon-rds

Cons

  • -Specific tradeoffs depend on your use case

Amazon Aurora Serverless

Developers should use Amazon Aurora Serverless for applications with unpredictable or variable database usage patterns, such as development and test environments, low-traffic applications, or applications with periodic spikes in demand

Pros

  • +It is ideal when you want to avoid over-provisioning or under-provisioning database capacity, as it automatically scales to handle workload changes, reducing costs and operational overhead
  • +Related to: amazon-aurora, aws-rds

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Amazon Aurora Provisioned if: You want it is ideal when you need the reliability of a traditional relational database with aws-managed operations, automated backups, and multi-az deployments for disaster recovery and can live with specific tradeoffs depend on your use case.

Use Amazon Aurora Serverless if: You prioritize it is ideal when you want to avoid over-provisioning or under-provisioning database capacity, as it automatically scales to handle workload changes, reducing costs and operational overhead over what Amazon Aurora Provisioned offers.

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The Bottom Line
Amazon Aurora Provisioned wins

Developers should use Amazon Aurora Provisioned for production workloads with steady, predictable traffic where performance and high availability are critical, such as e-commerce platforms, enterprise applications, or financial systems

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