Amazon Aurora vs Google Cloud SQL

Developers should use Amazon Aurora when building cloud-native applications on AWS that require high-performance, scalable, and highly available relational databases, such as e-commerce platforms, SaaS applications, or data-intensive workloads 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

Nice Pick

Developers should use Amazon Aurora when building cloud-native applications on AWS that require high-performance, scalable, and highly available relational databases, such as e-commerce platforms, SaaS applications, or data-intensive workloads

Pros

• It is particularly valuable for reducing administrative overhead with automated backups, patching, and replication, and for use cases needing low-latency read replicas or global database deployments
• Related to: aws-rds, mysql

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

The Bottom Line

Amazon Aurora wins

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