Overview

Amazon RDS for PostgreSQL

Stacks823

Followers607

Votes40

Google Cloud SQL for PostgreSQL

Stacks147

Followers106

Votes0

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

Database Engine Versions: Amazon RDS for PostgreSQL offers a wider range of database engine versions, allowing users to choose from multiple PostgreSQL versions including the latest ones. On the other hand, Google Cloud SQL for PostgreSQL may have a more limited set of PostgreSQL versions to choose from, which could impact compatibility with specific features or requirements.
Pricing Models: Amazon RDS for PostgreSQL generally follows a pay-as-you-go pricing model where users only pay for the resources they consume. In contrast, Google Cloud SQL for PostgreSQL may offer more flexibility in pricing options, such as committed use discounts or sustained use discounts, allowing for potential cost savings based on usage patterns.
Integration with Other Services: Amazon RDS for PostgreSQL seamlessly integrates with other Amazon Web Services (AWS) products and services, providing a comprehensive ecosystem for building and deploying applications. Google Cloud SQL for PostgreSQL, on the other hand, offers integration with Google Cloud Platform services, which may be more suitable for users already invested in the Google Cloud ecosystem.
Scalability Options: Both Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL offer scalability options such as vertical scaling (increasing the resources of a single instance) and horizontal scaling (adding more instances for load distribution). However, the ease of scaling and the specific options available may differ between the two services, impacting the performance and cost-effectiveness of scaling operations.
Backup and Recovery Features: Amazon RDS for PostgreSQL provides automated backup and recovery features, including point-in-time recovery and snapshot capabilities, to help users protect their data and restore databases in case of failures. Google Cloud SQL for PostgreSQL also offers similar backup and recovery functionalities, but the configuration options and management interfaces may vary between the two services.
Security and Compliance: Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL both prioritize security and compliance with industry standards. However, the specific security features, compliance certifications, and encryption options supported by each service may vary, requiring users to evaluate their specific security requirements when choosing between the two.

In Summary, Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL differ in database engine versions, pricing models, integration with other services, scalability options, backup and recovery features, and security and compliance offerings.

🔥 Trending in Relational Databases on StackShare

Neon Database

Relational Databases

Serverless, fault-tolerant, branchable Postgres

Try it View Docs Alternatives

Try

0

17

Advice on Amazon RDS for PostgreSQL, Google Cloud SQL for PostgreSQL

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.

9.17k views9.17k

Comments

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.

51.7k views51.7k

Comments

Detailed Comparison

Amazon RDS for PostgreSQL	Google Cloud SQL for PostgreSQL
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.	With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.
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	-
Statistics
Stacks 823	Stacks 147
Followers 607	Followers 106
Votes 40	Votes 0
Pros & Cons
Pros 25 Easy setup, backup, monitoring 13 Geospatial support 2 Master-master replication using Multi-AZ instance	No community feedback yet
Integrations
No integrations available	Google App Engine Google Compute Engine PostgreSQL

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

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.

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.

Database Labs

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

Azure Database for PostgreSQL

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

Neon Database

It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.

Amazon Aurora PostgreSQL

It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases.

Crunchy Bridge

It is a fully-managed database as a service. It takes care of backups, high availability, monitoring. Additionally, it is multi-cloud supporting AWS and Azure and comes with PL/Python3u and PL/R for more powerful work.

Vercel Postgres

It enables you to create scalable, secure PostgreSQL databases. You should use Vercel Postgres if you need to manage customer profiles, user-generated content, financial transaction processing, or other complex data.

PaaS DB PostgreSQL

A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.