Item: Google Cloud SQL
Rating: 9
Author: Sahil Khan

Use Cases and Deployment Scope

We use Google Cloud SQL to manage relational databases in our organization on cloud. It helps us to setup and administer our relational databases with less human intervention. It automates all our backups, encryptions, increase storage capacity to provide our application reliability and scalability.

Pros and Cons

Automated Tasks
Manage and administer Relational Databases
Easy Migration

More Documentation
Product cost can reduced
Better Integration with other BI Tools

Return on Investment

We are more focused on our product and data, as it is easy to manage the database on Google Cloud SQL.
It saved our lot of time since it is easy to migrate.
It can be cost effective when you are not using the service.

Key Insights

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

Other Software Used

Slack, Jira Software, Docker, GitHub, dbt

Likelihood to Recommend

If you have a large relational database and you want to migrate it to cloud then Google Cloud SQL is best suited for it. It helps you to automate lot of tasks. You should use Google Cloud SQL if you want less time to manage database and spend more time using it.

Google Cloud SQL is the best database management service tool

Overall Satisfaction with Google Cloud SQL