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Google Cloud SQL

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server.
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What is Google Cloud SQL?

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
Google Cloud SQL is a tool in the SQL Database as a Service category of a tech stack.

Who uses Google Cloud SQL?

192 companies reportedly use Google Cloud SQL in their tech stacks, including BlaBlaCar, StreamElements, and Flowdesk.

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

Google Cloud SQL Integrations

dbForge Studio for MySQL, Google App Maker, Stitch, Google Cloud Deployment Manager, and CanvasJS are some of the popular tools that integrate with Google Cloud SQL. Here's a list of all 12 tools that integrate with Google Cloud SQL.
Pros of Google Cloud SQL
Fully managed
Backed by Google
Encryption at rest and transit
Automatic Software Patching
Replication across multiple zone by default
Decisions about Google Cloud SQL

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

Suman Adhikari
Full Stack (Founder) at Peuconomia Int'l Pvt. Ltd. · | 10 upvotes · 34.8K views

We use Go for the first-off due to our knowledge of it. Second off, it's highly performant and optimized for scalability. We run it using dockerized containers for our backend REST APIs.

For Frontend, we use React with Next.js at vercel. We use NextJS here mostly due to our need for Server Side Rendering and easier route management.

For Database, we use MySQL as it is first-off free and always has been in use with us. We use Google Cloud SQL from GCP that manages its storage and versions along with HA.

All stacks are free to use and get the best juice out of the system. We also use Redis for caching for enterprise-grade apps where data retrieval latency matters the most.

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Triet Bui Minh
Android chapter Lead at Zalora · | 5 upvotes · 51.9K views

I want to develop a mobile app with Cloud Firestore as backend. It's good until I realize need to implement FullTextSearch, and Firestore doesn't support it natively. Although they advise to use Algolia but at this time I'm not willing to pay for it.

Therefore, I'm thinking about using the built-in tool from Google Cloud. Since this app is online-only, the offline & sync are not a top priority, so how about use Google Cloud SQL? Or, do you recommend any stack for me? Thanks for your advice.

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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.
Google Cloud Spanner
It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
See all alternatives

Google Cloud SQL's Followers
572 developers follow Google Cloud SQL to keep up with related blogs and decisions.