Amazon RDS for PostgreSQL vs Google Cloud SQL for PostgreSQL: What are the differences?
Amazon RDS for PostgreSQL: * Set up, operate, and scale PostgreSQL deployments in the cloud. 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; *Google Cloud SQL for PostgreSQL:** Fully-managed database service- set up, maintain, manage, and administer your relational PostgreSQL databases in the cloud. Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.
Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL can be categorized as "PostgreSQL as a Service" tools.
According to the StackShare community, Amazon RDS for PostgreSQL has a broader approval, being mentioned in 167 company stacks & 29 developers stacks; compared to Google Cloud SQL for PostgreSQL, which is listed in 19 company stacks and 6 developer stacks.
What is Amazon RDS for PostgreSQL?
What is Google Cloud SQL for PostgreSQL?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose Google Cloud SQL for PostgreSQL?
What are the cons of using Amazon RDS for PostgreSQL?
What are the cons of using Google Cloud SQL for PostgreSQL?
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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.
I could spin up an Amazon EC2 instance and install PostgreSQL myself, review latest configuration best practices, sort Amazon EBS storage for data, set up a snapshot process etc.
Alternatively I could use Amazon RDS, Amazon RDS for PostgreSQL or Heroku Postgres and have most of that work handled for me, by a team of world experts...
Using PostGIS to serve GeoJSON data for the Leaflet front-end.