Amazon RDS for PostgreSQL vs Google Cloud SQL

Overview

Amazon RDS for PostgreSQL

Stacks814

Followers607

Votes40

Google Cloud SQL

Stacks555

Followers580

Votes46

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

Introduction:

Amazon RDS for PostgreSQL and Google Cloud SQL both are fully managed database services that offer PostgreSQL as one of the database engines. However, there are several key differences between them that set them apart. Let's explore these differences in detail.

Pricing Model: Amazon RDS for PostgreSQL offers a pay-as-you-go pricing model where you are billed based on the actual usage, including instance type, storage, and data transfer. On the other hand, Google Cloud SQL has a more simplified pricing model where you pay only for the instance type and storage without any separate charges for data transfer.
Scalability: Amazon RDS for PostgreSQL provides read replicas and Multi-AZ deployments for high availability and scalability. Read replicas allow you to scale the read workload, while Multi-AZ deployments ensure automatic failover in case of any failures. In contrast, Google Cloud SQL supports automatic failover, but it does not have built-in support for read replicas.
Backup and Restore: Amazon RDS for PostgreSQL offers automated backups, which can be configured to occur at specific intervals. It also provides point-in-time recovery, enabling you to restore the database to a specific point in time. Google Cloud SQL also offers automated backups, but it lacks the point-in-time recovery feature.
Management Interface: Amazon RDS for PostgreSQL provides a web-based management console where you can easily perform various management tasks, such as creating and managing database instances, monitoring performance metrics, and configuring security settings. On the other hand, Google Cloud SQL offers a similar web-based management interface called the Cloud Console, which allows you to perform similar tasks.
Integration with Other Services: Amazon RDS for PostgreSQL integrates seamlessly with other AWS services, such as Amazon CloudWatch for monitoring, AWS Identity and Access Management (IAM) for access control, and AWS Database Migration Service for data migration. Google Cloud SQL also integrates well with other Google Cloud services like Stackdriver for monitoring and IAM for access control.
Region Availability: Amazon RDS for PostgreSQL is available in multiple regions across the globe, allowing you to deploy your database instances closer to your users for lower latency. Google Cloud SQL also offers global availability, allowing you to choose from various regions.

In Summary, Amazon RDS for PostgreSQL and Google Cloud SQL have key differences in terms of pricing model, scalability options, backup and restore capabilities, management interface, integration with other services, and region availability.

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Advice on Amazon RDS for PostgreSQL, Google Cloud SQL

Lonnie

CEO - Co-founder US, Mexico Binational Tech Start-up Accelerator, Incubator at Framework Science

May 9, 2019

Reviewon

Amazon DynamoDB

Amazon RDS for PostgreSQL

We use Amazon RDS for PostgreSQL because RDS and Amazon DynamoDB are two distinct database systems. DynamoDB is NoSQL DB whereas RDS is a relational database on the cloud. The pricing will mainly differ in the type of application you are using and your requirements. For some applications, both DynamoDB and RDS, can serve well, for some it might not. I do not think DynamoDB is cheaper. Right now we are helping Companies in Silicon Valley and in Southern California go SERVERLESS - drastically lowering costs if you are interested in hearing how we go about it.

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Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

51.8k views51.8k

Comments

Detailed Comparison

Amazon RDS for PostgreSQL	Google Cloud SQL
Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.	Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.;DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.;Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.;Automated Backups – Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance.;DB Snapshots – DB Snapshots are user-initiated backups of your DB Instance.;Pre-configured Parameters – Amazon RDS for PostgreSQL deployments are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected.;PostGIS;Language Extensions :PL/Perl, PL/pgSQL, PL/Tcl;Full Text Search Dictionaries;Advanced Data Types : HStore, JSON;Core PostgreSQL engine features	Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Statistics
Stacks 814	Stacks 555
Followers 607	Followers 580
Votes 40	Votes 46
Pros & Cons
Pros 25 Easy setup, backup, monitoring 13 Geospatial support 2 Master-master replication using Multi-AZ instance	Pros 13 Fully managed 10 SQL 10 Backed by Google 4 Flexible 3 Encryption at rest and transit

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

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 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.

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

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.

ElephantSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

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.

Database Labs

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

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.

Google Cloud SQL for PostgreSQL

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

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.

Related Comparisons

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

Introduction:

Pricing Model: Amazon RDS for PostgreSQL offers a pay-as-you-go pricing model where you are billed based on the actual usage, including instance type, storage, and data transfer. On the other hand, Google Cloud SQL has a more simplified pricing model where you pay only for the instance type and storage without any separate charges for data transfer.
Scalability: Amazon RDS for PostgreSQL provides read replicas and Multi-AZ deployments for high availability and scalability. Read replicas allow you to scale the read workload, while Multi-AZ deployments ensure automatic failover in case of any failures. In contrast, Google Cloud SQL supports automatic failover, but it does not have built-in support for read replicas.
Backup and Restore: Amazon RDS for PostgreSQL offers automated backups, which can be configured to occur at specific intervals. It also provides point-in-time recovery, enabling you to restore the database to a specific point in time. Google Cloud SQL also offers automated backups, but it lacks the point-in-time recovery feature.
Management Interface: Amazon RDS for PostgreSQL provides a web-based management console where you can easily perform various management tasks, such as creating and managing database instances, monitoring performance metrics, and configuring security settings. On the other hand, Google Cloud SQL offers a similar web-based management interface called the Cloud Console, which allows you to perform similar tasks.
Integration with Other Services: Amazon RDS for PostgreSQL integrates seamlessly with other AWS services, such as Amazon CloudWatch for monitoring, AWS Identity and Access Management (IAM) for access control, and AWS Database Migration Service for data migration. Google Cloud SQL also integrates well with other Google Cloud services like Stackdriver for monitoring and IAM for access control.
Region Availability: Amazon RDS for PostgreSQL is available in multiple regions across the globe, allowing you to deploy your database instances closer to your users for lower latency. Google Cloud SQL also offers global availability, allowing you to choose from various regions.

Amazon RDS for PostgreSQL vs Google Cloud SQL

Overview