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Google Cloud SQL
Google Cloud SQL

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Heroku Postgres
Heroku Postgres

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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鈥檛 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
  • Rollback
  • Dataclips

"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.

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What is Google Cloud SQL?

MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don鈥檛 run out of space and give your application the redundant, reliable storage it needs.

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.
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    What are some alternatives to Google Cloud SQL and Heroku Postgres?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    Google Cloud Datastore
    Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
    Google Cloud Spanner
    It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
    Amazon RDS
    Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.
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    Decisions about Google Cloud SQL and Heroku Postgres
    Amazon RDS
    Amazon RDS
    Heroku Postgres
    Heroku Postgres
    Amazon RDS for PostgreSQL
    Amazon RDS for PostgreSQL
    Amazon EBS
    Amazon EBS
    PostgreSQL
    PostgreSQL
    Amazon EC2
    Amazon EC2

    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...

    See more
    Interest over time
    Reviews of Google Cloud SQL and Heroku Postgres
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    How developers use Google Cloud SQL and Heroku Postgres
    Avatar of PSESD
    PSESD uses Heroku PostgresHeroku Postgres

    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.

    Avatar of Tim Lucas
    Tim Lucas uses Heroku PostgresHeroku Postgres

    Rock solid transactional storage of user, purchase and course activity data. During development database dumps were easy to create and download locally for testing.

    Avatar of datapile
    datapile uses Heroku PostgresHeroku Postgres

    We use heroku PostgreSQL databases for testing alongside our sandboxed application(s) in heroku.

    Extremely simple, practically a one-click setup.

    Avatar of Hunt Norment
    Hunt Norment uses Heroku PostgresHeroku Postgres

    4 years of experience using Heroku Postgres for data storage and management.

    Avatar of Kyle Fretwell
    Kyle Fretwell uses Heroku PostgresHeroku Postgres

    Created several tables for users, brands, deals, campaigns, and tracking.

    Avatar of Casey Smith
    Casey Smith uses Google Cloud SQLGoogle Cloud SQL

    Back-end datastore.

    How much does Google Cloud SQL cost?
    How much does Heroku Postgres cost?
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