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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
Jorge Perez
| 3 upvotes · 48.4K views
Needs advice
on
Amazon RDS for PostgreSQLAmazon RDS for PostgreSQLGoogle Cloud SQL for PostgreSQLGoogle Cloud SQL for PostgreSQL
and
Heroku PostgresHeroku 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
Software Developer · | 1 upvotes · 48.3K views
Recommends
on
Amazon RDS for PostgreSQLAmazon RDS for PostgreSQL

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

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 48.5K views
Recommends
on
DigitalOcean Managed DatabasesDigitalOcean Managed Databases
at

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
    Be the first to leave a pro
    • 29
      Easy to setup
    • 3
      Follower databases
    • 3
      Dataclips for sharing queries
    • 3
      Extremely reliable

    Sign up to add or upvote prosMake informed product decisions

    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?
      Manage your open source components, licenses, and vulnerabilities
      Learn More

      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?

      Sign up to get full access to all the tool integrationsMake informed product decisions

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      What are some alternatives to Google Cloud SQL for PostgreSQL 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.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives

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