Amazon Aurora Provisioned vs Google Cloud SQL

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 google cloud sql when building applications on google cloud platform that require a managed relational database with high availability, scalability, and security. Here's our take.

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

Google Cloud SQL

Developers should use Google Cloud SQL when building applications on Google Cloud Platform that require a managed relational database with high availability, scalability, and security

Pros

• It's ideal for web applications, e-commerce platforms, and enterprise systems where automated maintenance and integration with other Google Cloud services (like App Engine or Compute Engine) are beneficial
• Related to: google-cloud-platform, mysql

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Amazon Aurora Provisioned is a database while Google Cloud SQL is a platform. We picked Amazon Aurora Provisioned based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Amazon Aurora Provisioned wins

Based on overall popularity. Amazon Aurora Provisioned is more widely used, but Google Cloud SQL excels in its own space.