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Managing Databases with Google CLoud SQL

In the field of RDBMS software, Google incorporates Google CLoud SQL and Google CLoud Spanner, which can scale up as well as scale out automatically without the hassle of physical systems.

Managing Databases with Google CLoud SQL

A Database is a huge collection of information organized to serve efficient retrieval and DBMS (Database Management System) is a system software to create, retrieve, update and manage data.


There are two types of databases:

  1. Relational Database

  2. Non-Relational Database


The heart of Relational Database Management System (RDBMS) is the relational Data model, where data is expressed in rows and columns arranged in Tables to make it simple for generating queries. It is a collection of programs and capabilities that allows the users to create, update, administer and interact with a relational database.

Google comes up with its cloud based RDBMS i.e CLoud SQL for a smarter experience to manage Databases. Cloud SQL is a fully-managed database service that makes it easy to set up, manage, maintain, and administer your relational databases on GCP. It supports both OLTP (Online Transaction processing) and ACID properties to prove its efficiency over traditional DBMS softwares.


Why CLoud SQL over Traditional RDBMS?


  • Easy implementation on Cloud with no physical system requirement or use of creating VMs (Virtual Machines).

  • Cloud SQL is a PaaS approach so it can easily scale up. (*Scale out is not possible on CLoud SQL but Google has a more flexible RDBMS i.e CLoud Spanner).

  • Easy migration from other RDBMS.

  • Simple and reliable.

  • Scalable and customizable.  

  • Supports MySQL and PostGreSQL.

  • ACID Support which makes it highly efficient. (A: Atomicity, C: Consistency, I: Isolation, D: Durability).

  • Easy manipulation of Cloud SQL using gcloud as a linux command-line interface. Can also be accessed using Python and Java APIs.

  • Can be replicated for data-loss prevention in 4 different ways:

  1. Read Replicas: Low cost and low availability replicas of master instance with minimal configuration.

  2. Fail-over Replicas: Creating efficient second generation replica of the master in a different availability zone.

  3. External Replicas: Creating MySQL replica instances replicated from CLoud SQL.

  4. External Master: Creating another MySQL master instance which is not a part of CLoud SQL.

  • Automated Backup services where it stores minimum of seven backups at a single time.


In the field of RDBMS software, Google incorporates Google CLoud SQL and Google CLoud Spanner, which can scale up as well as scale out automatically without the hassle of physical systems. It offers high performance, scalability, and convenience. It doesn’t require any software installation. CLoud SQL automates all your backups, replication, patches, and updates, while ensuring 99.99% availability, across the globe.




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