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Store and manage data using a fully-managed, relational MySQL database
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What is Google Cloud SQL?

MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
Google Cloud SQL is a tool in the SQL Database as a Service category of a tech stack.

Who uses Google Cloud SQL?

115 companies reportedly use Google Cloud SQL in their tech stacks, including Implisit, Policygenius, and OTOBANK Inc..

106 developers on StackShare have stated that they use Google Cloud SQL.

Google Cloud SQL Integrations

Google App Maker, Stitch, Google Cloud Deployment Manager, Xplenty, and Crossplane are some of the popular tools that integrate with Google Cloud SQL. Here's a list of all 8 tools that integrate with Google Cloud SQL.

Why developers like Google Cloud SQL?

Here’s a list of reasons why companies and developers use Google Cloud SQL
Google Cloud SQL Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud SQL in their tech stack.

Ido Shamun
Ido Shamun
at The Elegant Monkeys · | 5 upvotes · 3K views
Google Cloud SQL
Google Cloud SQL

As far as the backend goes, we first had to decide which database will power most of Daily services. Considering relational databases vs document datbases, we decided that the relational model is a better fit for Daily as we have a lot of connections between the different entities. At the time MySQL was the only service available on Google Cloud SQL so this was out choice. In terms of #backend development Node.js powers most of our services, thanks to its amazing ecosystem there are a lot of modules publicly available to shorten the development time. Go is for the light services which are all about performance and delivering quickly the response, such as our redirector service.

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Google Cloud SQL's Features

  • Familiar Infrastructure
  • Flexible Charging
  • Security, Availability, Durability
  • Easier Migration
  • No Lock-in
  • Fully managed

Google Cloud SQL Alternatives & Comparisons

What are some alternatives to Google Cloud SQL?
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Apache Aurora
Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
Amazon RDS
Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.
Amazon RDS for Aurora
Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
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Google Cloud SQL's Followers
116 developers follow Google Cloud SQL to keep up with related blogs and decisions.
Plamen Hristov
David Grant
Demarcus Edwards
Lukas Liesis
Himansu Sekhar