Google Cloud SQL Information Reviews & Insights

Basically I use Cloud SQL comes with the capabilities such as cloud storage, strong backend and fast quires compilation features that's make it a best and suitable tool. It has helped us automate a lot of our reporting processes and has helped us optimize our team effectively.

Great for web apps and smaller projects but not ideal for huge data or ultra-low-latency needs.

We have migrated most of our self-hosted versions of MySQL and Postgres to Cloud SQL as it helps in managing the databases without having to maintain them on VMs. This has freed a lot of time of our devops team and they can spend more time on the overall solution vs the database management.

It is very well suited for teams who just want to get things done. Teams which don't want to take the headache of running their own databases, this is the go to service. GIven it is a hosted service by Google, it comes with the benefits of automated security updates, uptime management, backups are pretty easy and so are the restores.

In our organization we need to store a large amount of data that is very efficient to access. For this reason we need a managed relational database that is easy to scale and manage.

It's definitely suited for companies that needs a very efficient and performant database with the option to scale the server based on needs.

We use Google Cloud SQL with Mysql Engine as the primary Database for storing Application Data. Our compute engine are connected to the SQL Cloud. We also use it to store the summarised data for MIS & Reporting.

Pros
- Great for storing Structured dataset
- Handling Transaction based workflows

Cons
- None I can think of

We use it as the main SQL database for our SaaS. The server is hosted on Cloud Run (serverless) and connect direcly using private IP inside the VPC.
It supports high availability and read replicas, as Pitr backup recovery and logs/metrics integrated to Google Cloud monitoring.

For a general purpose SQL database, it's very well suited, performant and secure, if you already use GCP.
If you intend to connect from other BI, analytics or 3rd party tools, I advise to check if they support SSL to Google Cloud SQL, because most don't. If you are on AWS, go with RDS

I have worked with Google Cloud SQL for a R&D project. I was given the task to implement a data conversion application. we wanted to migrate from an on-prem SQL database to Google Cloud SQL. we decided to use Google SQL. It supports all the relational database needs. It is a fully managed and secure service.

It is a very powerful database service. It can be easily set up even by an entry-level developer. It can be used by medium to large organizations in their various projects. It can be used by business apps as well at any level. It can also be used where latency is an issue as It is extremely fast

Google Cloud SQL is used across technology, analytics and BI teams to store relational databases, tables, and run queries to fetch data from these databases.

Business problems addressed:

• Joining data tables from different databases to give a combined view of attributes and records
• Run SQL queries to fetch raw data and prepare product usage reports on top of it
• Prepare an automated data API workflow to be sent directly to BI systems to generate automatic reports

Google Cloud SQL (MySQL) is used as the relational data store for our product. The ability to scale up, have read replicas, and have automatic failover built into the offering are really nice features. The automated backup feature is nice as well. To have 7 days of backups available at any time without having to support the processes necessary to make that happen is great.

It is great if you don't want to worry about managing hardware and infrastructure and instead focus your efforts on work directly related to your product's database needs, i.e. schema design, efficient queries, etc. However, if you are dealing with very large data sets, then BigQuery, BigTable, or similar might be better suited for your needs.

[We're] using it as the primary database supporting multiple WordPress installations that are running on Google Cloud. It's being used for every site that we currently have on Google Cloud, and are in the process of moving more sites over to this platform. Having everything on Google's infrastructure makes everything easy to manage and Google Cloud SQL is insanely fast.

If you're hosting a site on Google Cloud, it only makes sense to make use of Google Cloud SQL for the database, as opposed to running a separate MySQL service on a VM. It's extremely fast and has resulted in a dramatic improvement in page load time across multiple sites.