One of the bests Cloud Database solutions in the market
Updated July 22, 2025
One of the bests Cloud Database solutions in the market
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google Cloud SQL
Our product, [...], which a powerful marketing intelligence tool designed specifically for automotive dealerships, runs on Google Cloud. We're leveraging instance-based services, such as Compute Engine, Google Cloud SQL, Cloud Memory, as well as netsec services, such as Load Balancer and Firewalls. We're getting a robust and centralized solution, that provides us with comprehensive metrics on the consumption for each resource as well as monitoring tools to proactively keep our infrastructure up and running.
Pros
- High-availability
- Dynamic resource allocation
- Serverless
- Monitoring tools
Cons
- Access through VPN
- Defragmentation tools
- Automatic version upgrade
- No costs associated with DBA resources
- No costs associated with Server resources
- Business continuity guaranteed due to dynamic resource allocation
In our experience, we were down for almost a day, because Database Engineers at Rackspace weren't able to understand or provide a solution, and when they did, they had to recreate the database from the scratch. On a server, this is time consuming. When we faced a similar scenario on Google Cloud SQL it was as easy as to recover from the last image through the console. We were back up in less than 30 minutes. Such a solution, saves you money by reducing churn and keeping the business operating.
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
Google Cloud SQL Feature Ratings
Using Google Cloud SQL
10 - Software engineers and data analysts
3 - Infrastructure Engineers, DBAs and Developers
- Save costs on server operations
- Ensure Business continuity in case of disaster
- Easily clone instances as required
- Hybrid data storage (Estructured and non-structured, such as json)
- Auto-scaling
- Authentication proxy
- Mysql 8.1 optimization
- Load Balancing between primary databases
- Read Only instance for reporting
Evaluating Google Cloud SQL and Competitors
Yes - AWS Elastic Instances. We already were working on Google API Projects, so we wanted to leverage on that.
- Cloud Solutions
- Scalability
- Ease of Use
Scalibilty, which for us meant not having to worry on server nor database maintenance tasks, for which we did not had the bandwith. We've also saved a lot in costs associated with DBA personnel.
Research better how storage autoscalability worked to avoid spikes. You cannot resize it once it has grown.
Google Cloud SQL Implementation
- Third-party professional services
WSM Connectria
Change management was minimal
- No issues.
Google Cloud SQL Support
| Pros | Cons |
|---|---|
Quick Resolution Good followup Kept well informed No escalation required Support understands my problem | None |
No. The current tier is good enough for our use case.
No. As I mentioned before, we've been able to solve the issues by ourselves. The tool is stable enough.
Using Google Cloud SQL
| Pros | Cons |
|---|---|
Like to use Relatively simple Easy to use Technical support not required Well integrated Consistent Quick to learn Convenient Feel confident using Familiar | None |
- Create new instances
- Run backups
- Restore backups
- Resize storage size
- Database wide updates, such us default charset
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