The solution is easy to use. I am impressed with the tool's features and functionality. 

What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications.

It is not the cool features that I find valuable, it is the stability of Google Cloud Platform, which is why we chose the platform over hosting our own servers.

It supports different databases, like Postgres and MySQL. It allows you even to migrate data from one DB to another one, for example, from MySQL to Postgres, et cetera.

The solution is stable and reliable. 

It's a scalable product.

The solution has been issue-free.

Google Cloud SQL provides SQL storage.

The speed is very good. 

It's useful in terms of the simplicity of doing backups. 

You can have redundant databases for reports, for posts, for example. 

It's SQL. SQL is so easy if you know something about databases. It's easy to learn. 

I like the cloud aspect.

The pricing of the solution seems reasonable. 

The solution is stable. 

Google seems to be working on a data lake solution, and we are happy with that.

The most valuable features are that it's easy to use, simple, and user-friendly. 

We are focusing on data pipeline creation and data migration. It involves continuous streaming of data from one place to Google Cloud to be analyzed immediately.

We are using standard SQLs features only, so we don't use any very specific feature assets.

One feature we've found pretty interesting was their support, which is multi-region support. They have good multi-region failure support, and we can just set up there and read replicas directly and we can fall back. We are quite pleased with the results.

The initial setup is straightforward. 

It's stable. 

The solution can scale. 

I found its storage and security to be the most valuable. It was a good experience.

It is also very stable and scalable, and its support is perfect.

Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes. I can start a release model experiment on a thousand people, and if that experiment is a success I can run it on a million people, and the whole analysis doesn't require any changes so it's scalable that way. It's much more cost-sensitive. It's not that costly for me to do it.

It's all built into the web browser, so any operating system will work. It's easy to manage. They help me take care of the replication data backups and software upgrades, updates and so on. They take care of everything.

I no longer need experts in database management. When I say database management, I don't mean SQL commands and which command is better or which query is better constructed. The database management in terms of memory, configuration, disc space, archiving, back-ups, replication problems, updates and so on. So, I no longer need someone or a team of people sitting around, taking care of my database infrastructure. I only have Google for that.

The valuable feature of Google Cloud SQL is its high availability option, allowing for the selection of two backups and two databases. This ensures minimal downtime, adhering to SLAs that guarantee the database will not be down for over a few seconds.

In terms of most valuable features - its ease of management and the ability to oversee the statistics of your SQL, and obviously its availability all the time.

• Automated backups
• Read replicas
• Integration with other GCP services