Google Cloud SQL is a managed database service provided by Google Cloud Platform (GCP). It offers pricing based on various factors, including the database engine type, instance size, storage capacity, and networking usage. Here are the key components that influence the pricing of Google Cloud SQL:

1. Database Engine Types:

   • MySQL: Google Cloud SQL offers pricing for MySQL databases, including MySQL 5.6, 5.7, and 8.0 versions.
   • PostgreSQL: Google Cloud SQL provides pricing for PostgreSQL databases, including PostgreSQL 9.6, 10, 11, and 12 versions.

2. Instance Types: Google Cloud SQL offers different instance types with varying performance capabilities, memory, and CPU resources. The pricing differs based on the selected instance type.

3. Storage Capacity: The amount of storage allocated to your Google Cloud SQL instance contributes to the pricing. You are charged based on the provisioned storage capacity.

4. Networking Egress: Data transferred out of your Google Cloud SQL instance to external networks is subject to egress charges. The pricing varies depending on the destination and the amount of data transferred.

5. Backup and Storage Costs: Automatic backups and database snapshots are created to provide data protection. The storage used for backups and snapshots incurs additional costs.

6. Maintenance Window: During the maintenance window, Google performs regular maintenance activities and updates on your instances. Instances that require maintenance may experience a temporary downtime. These maintenance activities are included in the pricing.

It’s important to note that Google Cloud SQL offers a pricing calculator on their website to estimate the costs based on your specific requirements. This allows you to configure the database instance type, storage capacity, networking usage, and backup options to get an estimate of the monthly costs.

For detailed and up-to-date information on Google Cloud SQL pricing, it’s recommended to visit the official Google Cloud Pricing page for SQL (cloud.google.com/sql/pricing) or use the Google Cloud Pricing Calculator to estimate the costs based on your specific usage patterns and requirements.