Google Cloud SQL vs Heroku Postgres: What are the differences?
What is Google Cloud SQL? Store and manage data using a fully-managed, relational MySQL database. MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
What is 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 and Heroku Postgres are primarily classified as "SQL Database as a Service" and "PostgreSQL as a Service" tools respectively.
Some of the features offered by Google Cloud SQL are:
- Familiar Infrastructure
- Flexible Charging
- Security, Availability, Durability
On the other hand, Heroku Postgres provides the following key features:
- High Availability
"Fully managed" is the top reason why over 12 developers like Google Cloud SQL, while over 27 developers mention "Easy to setup" as the leading cause for choosing Heroku Postgres.
Open Humans, PullReview, and Churn Buster are some of the popular companies that use Heroku Postgres, whereas Google Cloud SQL is used by Implisit, Policygenius, and OTOBANK. Heroku Postgres has a broader approval, being mentioned in 74 company stacks & 38 developers stacks; compared to Google Cloud SQL, which is listed in 71 company stacks and 28 developer stacks.
What is Google Cloud SQL?
What is Heroku Postgres?
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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...
Stores the admin database for the SRX apps - includes an audit log, error tracking, and SRX admin message log.
Will also store PRS rules when refactor is complete.
Rock solid transactional storage of user, purchase and course activity data. During development database dumps were easy to create and download locally for testing.
We use heroku PostgreSQL databases for testing alongside our sandboxed application(s) in heroku.
Extremely simple, practically a one-click setup.
4 years of experience using Heroku Postgres for data storage and management.
Created several tables for users, brands, deals, campaigns, and tracking.