Amazon RDS vs Google Cloud SQL

Overview

Amazon RDS

Stacks16.2K

Followers10.8K

Votes761

Google Cloud SQL

Stacks555

Followers580

Votes46

Amazon RDS vs Google Cloud SQL: What are the differences?

Amazon RDS and Google Cloud SQL are both managed relational database services that provide a platform for deploying, managing, and scaling relational databases in the cloud. While they have similar features and goals, there are several key differences between the two services.

Pricing structure: Amazon RDS offers a more flexible pricing model, allowing users to choose between different database instance types and pay for only the resources they need. On the other hand, Google Cloud SQL charges customers based on the size and location of the database instance, with limited instance types available.
Database engine options: Amazon RDS supports a wider variety of database engines, including popular options like MySQL, PostgreSQL, Oracle, and SQL Server. Google Cloud SQL, on the other hand, is primarily focused on supporting MySQL and PostgreSQL databases, with limited support for other engines.
Global scalability: Google Cloud SQL provides the ability to replicate database instances across multiple regions, allowing for global scalability and improving application performance for users located in different geographical areas. Amazon RDS also supports read replicas for scaling reads, but the replication is limited to within a single region.
Backup and recovery options: Amazon RDS offers a range of backup and restore options, including automated backups with configurable retention periods and point-in-time recovery. Google Cloud SQL provides automated backups and manual backups, but lacks the point-in-time recovery feature.
Integration with other cloud services: Amazon RDS integrates well with other AWS services, allowing users to easily connect their database instances to services like Amazon S3 for data storage or AWS Lambda for serverless computing. Google Cloud SQL also provides integration with other Google Cloud services, but the level of integration may not be as extensive as what Amazon RDS offers with AWS.
Management console and user interface: Amazon RDS provides a comprehensive management console and user interface that allows users to easily manage and monitor their database instances, set up alerts, and view performance metrics. Google Cloud SQL has a similar interface but may not offer the same level of detail and functionality as Amazon RDS.

In summary, Amazon RDS and Google Cloud SQL offer similar managed database services, but key differences include pricing structure, database engine options, global scalability, backup and recovery options, integration with other cloud services, and the management console.

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Advice on Amazon RDS, Google Cloud SQL

Phillip

Developer at Coach Align

Mar 18, 2021

Decided

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Detailed Comparison

Amazon RDS	Google Cloud SQL
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.	Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
Pre-configured Parameters;Monitoring and Metrics;Automatic Software Patching;Automated Backups;DB Snapshots;DB Event Notifications;Multi-Availability Zone (Multi-AZ) Deployments;Provisioned IOPS;Push-Button Scaling;Automatic Host Replacement;Replication;Isolation and Security	Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Statistics
Stacks 16.2K	Stacks 555
Followers 10.8K	Followers 580
Votes 761	Votes 46
Pros & Cons
Pros 165 Reliable failovers 156 Automated backups 130 Backed by amazon 92 Db snapshots 87 Multi-availability	Pros 13 Fully managed 10 SQL 10 Backed by Google 4 Flexible 3 Automatic Software Patching

What are some alternatives to Amazon RDS, Google Cloud SQL?

Amazon 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.

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

Azure Database for MySQL

Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

Amazon Aurora Serverless

It is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database on AWS without managing database capacity.

Related Comparisons

Amazon RDS vs Google Cloud SQL: What are the differences?

Pricing structure: Amazon RDS offers a more flexible pricing model, allowing users to choose between different database instance types and pay for only the resources they need. On the other hand, Google Cloud SQL charges customers based on the size and location of the database instance, with limited instance types available.
Database engine options: Amazon RDS supports a wider variety of database engines, including popular options like MySQL, PostgreSQL, Oracle, and SQL Server. Google Cloud SQL, on the other hand, is primarily focused on supporting MySQL and PostgreSQL databases, with limited support for other engines.
Global scalability: Google Cloud SQL provides the ability to replicate database instances across multiple regions, allowing for global scalability and improving application performance for users located in different geographical areas. Amazon RDS also supports read replicas for scaling reads, but the replication is limited to within a single region.
Backup and recovery options: Amazon RDS offers a range of backup and restore options, including automated backups with configurable retention periods and point-in-time recovery. Google Cloud SQL provides automated backups and manual backups, but lacks the point-in-time recovery feature.
Integration with other cloud services: Amazon RDS integrates well with other AWS services, allowing users to easily connect their database instances to services like Amazon S3 for data storage or AWS Lambda for serverless computing. Google Cloud SQL also provides integration with other Google Cloud services, but the level of integration may not be as extensive as what Amazon RDS offers with AWS.
Management console and user interface: Amazon RDS provides a comprehensive management console and user interface that allows users to easily manage and monitor their database instances, set up alerts, and view performance metrics. Google Cloud SQL has a similar interface but may not offer the same level of detail and functionality as Amazon RDS.

Amazon RDS vs Google Cloud SQL

Overview