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Heroku Postgres VS Google Cloud SQL for MySQL

Compare Heroku Postgres VS Google Cloud SQL for MySQL and see what are their differences

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Heroku Postgres logo Heroku Postgres

Heroku Postgres is an SQL database as a service.

Google Cloud SQL for MySQL logo Google Cloud SQL for MySQL

Cloud SQL for MySQL automatically ensures your databases are reliable, secure, and scalable so that your business continues to run without disruption.
  • Heroku Postgres Landing page
    Landing page //
    2023-03-22
  • Google Cloud SQL for MySQL Landing page
    Landing page //
    2023-09-30

Heroku Postgres features and specs

  • Scalability
    Heroku Postgres offers seamless vertical and horizontal scaling, allowing you to handle increased loads without significant changes to your application.
  • Managed Service
    Heroku manages the database infrastructure, which includes automated backups, software updates, and security patches, reducing the operational overhead.
  • Integration
    Heroku Postgres integrates well with other Heroku services and add-ons, facilitating a smoother development and deployment workflow.
  • High Availability
    It provides high availability features like automated failover and redundancy to minimize downtime and ensure consistent performance.
  • Monitoring Tools
    Includes several built-in tools for monitoring database performance, which help you identify and troubleshoot issues efficiently.

Possible disadvantages of Heroku Postgres

  • Cost
    Heroku Postgres can be more expensive than self-hosted solutions, especially as your database requirements grow.
  • Limited Control
    As a managed service, it offers less control over database configurations and customizations compared to self-managed databases.
  • Vendor Lock-In
    Using Heroku Postgres can make it more challenging to transition to other platforms in the future, potentially leading to vendor lock-in.
  • Latency
    For applications not hosted on Heroku, there can be increased latency when interacting with the Heroku Postgres service due to its remote nature.
  • Advanced Feature Limitations
    Some advanced PostgreSQL features might not be fully supported or available in Heroku Postgres, limiting its use for certain specialized applications.

Google Cloud SQL for MySQL features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Heroku Postgres and Google Cloud SQL for MySQL)

Heroku Postgres

Google Cloud SQL for MySQL

Databases
86 86%
Databases
14% 14
Data Stores
0 0%
Data Stores
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
SQL Database As A Service
0 0%
SQL Database As A Service
100% 100

User comments

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What are some alternatives?

When comparing Heroku Postgres and Google Cloud SQL for MySQL, you can also consider the following products

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.

MySQL - The world's most popular open source database

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Google Cloud SQL - Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database.

SQLite - SQLite Home Page

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