Overall Satisfaction with Google Cloud SQL
We use programming languages or common SQL clients to establish a connection with the instance.
We use the given interfaces to administer the database and run SQL queries. It frees us from worrying as much about the supporting infrastructure and lets us concentrate more on developing apps. Additionally, it enables read replicas, which lets us transfer read queries to replicas for faster processing.
We use the given interfaces to administer the database and run SQL queries. It frees us from worrying as much about the supporting infrastructure and lets us concentrate more on developing apps. Additionally, it enables read replicas, which lets us transfer read queries to replicas for faster processing.
- It supports MySQL, PostgreSQL
- It has high availability
- It has vertical and horizontal scaling
- Increasing support for more database engines may enable a wider range of application needs to be met.
- Implementing and updating cutting-edge security features on a constant basis.
- Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
- Efficient resource usage and cost optimization can be achieved by scaling up or down as necessary.
- The availability and dependability of databases are improved by capabilities like read replicas and automated failover offered by Google Cloud SQL.
- Google Cloud SQL is a fully-managed service, specialized database administration resources are not as necessary.
When comparing cost, Google Cloud SQL typically offers a more straightforward and versatile plan than Azure SQL Database. Cloud SQL for PostgreSQL is a serverless solution provided by Google Cloud SQL that automatically modifies resources according to workload. For customers who are already familiar with the Google Cloud Platform, in particular, Google Cloud SQL is highly regarded for its ease of use.
Do you think Google Cloud SQL delivers good value for the price?
Yes
Are you happy with Google Cloud SQL's feature set?
Yes
Did Google Cloud SQL live up to sales and marketing promises?
Yes
Did implementation of Google Cloud SQL go as expected?
Yes
Would you buy Google Cloud SQL again?
Yes