Google Cloud SQL

It offers fully managed service, reduces cost. Integration is easy with google cloud services which enhances efficiency. Scalability, security and reliability supports business growth.

Setting up or migrating Google Cloud SQL is easy as compared to AWS. It has a good monitoring and logging mechanism and a good user interface which makes it easy to navigate.It also has a pay as you go pricing which makes it easier to reduce cost. Google Cloud SQL offers features like automatic backups, replication, point-in-time recovery, and automated failover for high availability which makes it a robust architecture

BigQuery is a great analytical database and is generally our first choice for large analytical workloads. While its performance and throughput far outperforms Google Cloud SQL but it supports a far limited dialets of SQL. Generally a significant rewrite will be needed for BgQuery but rarely for Google Cloud SQL
Cloud Spanner is a great distributed database that is amazing for ultra large workloads, while Google Cloud SQL does not support distributed compute at all

Actually Google Cloud SQL is similar to them, the difference is which engine each supports e.g. there's no managed Oracle DB in Google Cloud SQL but as long as you don't need Oracle, Google Cloud SQL should suffice and give you great user experience and performance. You also have lots of choices in the storage that you'd like to use.

Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.

Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.

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.

- AWS RDS and Aurora is a just a notch above Google Cloud SQL as it provide boost in performance when required
- Google Cloud SQL Mysql Engine is Cloud based and better than native Mysql as it provides management of the server out of box
- Compared to a MongoDB it has a low learning curve and faster to take applications from MVP to Production

The Google Cloud SQL offering fits into our development stack and was a clean replacement for our MySQL database. If we had been using SQL Server instead, then the offering from Azure would have made more sense. I have used both in the past and both work well, with GCP being a little less expensive.

I have used only Google Cloud SQL so far.

At first, we choose Google Cloud SQL only for demo purposes. It is so easy to set up and It is fully managed. we have worked with Azure SQL as well but Google SQL is more simple to use and It fully secure, reliable, provides high availability, and very Low Latency.

Easier learning, simple features and settings with a very user-friendly application environment and flexible prices make Google Cloud [SQL] a pioneering option over competitors

IBM DB2
AWS RDS
Azure SQL Database
Oracle SQL

Biggest reason for selecting Google Cloud SQL is broad ecosystem Google supports in terms of

• Connecting to varied type of databases
• Built-in APIs to deliver projects faster
• Manages services so the teams can focus more on actual work than managing the infrastructure
• Easy-to-use portal to import data and run queries

We use the MySQL managed database that Cloud SQL offers, and it has all of the functionality of on-prem MySQL, plus it is managed.

Google Cloud SQL is just as good as the other guys. We were already invested in GCP, which made the choice very easy. We did not want to start fresh in AWS or Azure. We used our existing GCP setup and just added Cloud SQL. It's unfortunate that companies continue to send people to AWS when Google's offerings are just as good or better.

There are many options for cloud-hosted dedicated SQL instances. In many ways, simply moving from software and server-based database to a dedicated cloud database is just generally good. All hosts provide some sort of scaling and backup, and all separate the server management from database administration.
Google Cloud SQL is very straightforward and easy to use. Once a SQL instance is created, there are easy to follow guides for getting connected and adjusting basic features.
The real benefit of using Google's services over another provider comes into play for anybody already using other Google Cloud services. Management is easy since all Google Cloud resources can be accessed from a single console web interface. Perhaps most importantly, communications between cloud resources are more secure since they don't go over the public internet, and they generally avoid incurring networking charges.

Google Cloud SQL is very similar to other cloud provider options. AWS and DigitalOcean are direct competitors, While Azure is focusing on their own products. At cloud provider level, it's a matter of choosing the provider, and this product will not play a significant role on that decision.

Now, between this and managing my own DB instances, only reasons to do that are if I need a DB vendor not available, if doing that will reduce operational costs significantly, or if I need to have full control over my data for regulatory or confidentiality reasons.

I don't know to be honest, but I think ease of use is their #1 feature.

It's dramatically faster than running MySQL on a VM, which is what we did before. Whatever Google has done to optimize Google Cloud SQL compared to standalone MySQL installations has worked.