Google SQL for PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with Google Cloud Platform. It is a managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database. You can use Google SQL for PostgreSQL with any application or tool that supports PostgreSQL.
- CPU and memory: You can choose the number of CPUs and the amount of memory you want, up to 96 CPUs and 624 GB of memory. The price per vCPU starts from $0.0413 per hour and the price per GB of memory starts from $0.007 per hour. If you configure your instance for high availability, the prices are doubled. You can also use Committed Use Discounts to get lower prices for one or three year terms.
- Storage and networking: You can choose between SSD or HDD storage types. The price per GB of storage starts from $0.17 per month for SSD and $0.09 per month for HDD. If you configure your instance for high availability, the prices are doubled. You also pay for the backups you use, which start from $0.08 per GB per month. The network ingress to Cloud SQL is free, but the network egress is charged based on the destination region. The price per GB of egress starts from $0.12 ($0.05 if you use Cloud Interconnect). You also pay for the IPv4 addresses you use, which cost $0.01 per hour while idle.
- It is a fully managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database.
- It supports several versions of PostgreSQL, from 9.6 to 14, and offers features such as SSL/TLS encryption, Point-in-Time Recovery, and Cloud SQL Insights.
- It provides high availability and durability with regional instances and read replicas.
- It supports integrations with key services like Google Kubernetes Engine , BigQuery , and Cloud Run .
- It is more expensive than running self-managed PostgreSQL on Compute Engine instances.
- It does not provide host access to the DB instances or allow you to run custom extensions or scripts on them.
- It has some limitations and differences from standard PostgreSQL, such as unsupported parameters, functions, data types, and extensions.