Google Cloud SQL for PostgreSQL vs Heroku Postgres

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Google Cloud SQL for PostgreSQL

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Heroku Postgres

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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.

Advice on Google Cloud SQL for PostgreSQL and Heroku Postgres

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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Replies (2)
David Weinberg

Good balance between easy to manage, pricing, docs and features.

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 45.9K views

DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.

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Pros of Google Cloud SQL for PostgreSQL
Pros of Heroku Postgres
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    • 29
      Easy to setup
    • 3
      Follower databases
    • 3
      Dataclips for sharing queries
    • 3
      Extremely reliable

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    Cons of Google Cloud SQL for PostgreSQL
    Cons of Heroku Postgres
      Be the first to leave a con
      • 2
        Super expensive

      Sign up to add or upvote consMake informed product decisions

      What is 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.

      What is 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Google Cloud SQL for PostgreSQL?
      What companies use Heroku Postgres?
      See which teams inside your own company are using Google Cloud SQL for PostgreSQL or Heroku Postgres.
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      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Google Cloud SQL for PostgreSQL?
      What tools integrate with Heroku Postgres?

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      What are some alternatives to Google Cloud SQL for PostgreSQL and Heroku Postgres?
      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.
      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.
      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.
      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.
      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.
      See all alternatives