Google Cloud SQL for PostgreSQL vs Heroku Postgres

Overview

Heroku Postgres

Stacks607

Followers314

Votes38

Google Cloud SQL for PostgreSQL

Stacks142

Followers106

Votes0

Google Cloud SQL for PostgreSQL vs Heroku Postgres: What are the differences?

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; Heroku Postgres: Heroku's Database-as-a-Service. Based on the most powerful open-source database, PostgreSQL. Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Google Cloud SQL for PostgreSQL and Heroku Postgres belong to "PostgreSQL as a Service" category of the tech stack.

According to the StackShare community, Heroku Postgres has a broader approval, being mentioned in 74 company stacks & 39 developers stacks; compared to Google Cloud SQL for PostgreSQL, which is listed in 19 company stacks and 6 developer stacks.

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Advice on Heroku Postgres, Google Cloud SQL for PostgreSQL

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.

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Detailed Comparison

Heroku Postgres	Google Cloud SQL for PostgreSQL
Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.	With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.
High Availability;Rollback;Dataclips;Automated Health Checks	-
Statistics
Stacks 607	Stacks 142
Followers 314	Followers 106
Votes 38	Votes 0
Pros & Cons
Pros 29 Easy to setup 3 Extremely reliable 3 Follower databases 3 Dataclips for sharing queries Cons 2 Super expensive	No community feedback yet
Integrations
PostgreSQL Heroku	Google App Engine Google Compute Engine PostgreSQL

What are some alternatives to Heroku Postgres, Google Cloud SQL for PostgreSQL?

Amazon RDS 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.

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.