Alternatives to Google Cloud SQL for PostgreSQL logo

Alternatives to Google Cloud SQL for PostgreSQL

Amazon RDS for PostgreSQL, Heroku Postgres, Azure Database for PostgreSQL, ElephantSQL, and Neon Database are the most popular alternatives and competitors to Google Cloud SQL for PostgreSQL.
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What is Google Cloud SQL for PostgreSQL and what are its top alternatives?

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.
Google Cloud SQL for PostgreSQL is a tool in the PostgreSQL as a Service category of a tech stack.

Top Alternatives to Google Cloud SQL for PostgreSQL

  • Amazon RDS for PostgreSQL
    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. ...

  • Heroku Postgres
    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. ...

  • Azure Database for PostgreSQL
    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

    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
    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
    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. ...

  • Database Labs
    Database Labs

    We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator. ...

  • Amazon Aurora PostgreSQL
    Amazon Aurora PostgreSQL

    It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases. ...

Google Cloud SQL for PostgreSQL alternatives & related posts

Amazon RDS for PostgreSQL logo

Amazon RDS for PostgreSQL

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Set up, operate, and scale PostgreSQL deployments in the cloud
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PROS OF AMAZON RDS FOR POSTGRESQL
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    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
CONS OF AMAZON RDS FOR POSTGRESQL
    Be the first to leave a con

    related Amazon RDS for PostgreSQL posts

    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
    Heroku Postgres logo

    Heroku Postgres

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    Heroku's Database-as-a-Service. Based on the most powerful open-source database, PostgreSQL
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    PROS OF HEROKU POSTGRES
    • 29
      Easy to setup
    • 3
      Follower databases
    • 3
      Dataclips for sharing queries
    • 3
      Extremely reliable
    CONS OF HEROKU POSTGRES
    • 2
      Super expensive

    related Heroku Postgres posts

    PostgreSQL Heroku Heroku Postgres Node.js Knex.js

    Last week we rolled out a simple patch that decimated the response time of a Postgres query crucial to Checkly. It quite literally went from an average of ~100ms with peaks to 1 second to a steady 1ms to 10ms.

    However, that patch was just the last step of a longer journey:

    1. I looked at what API endpoints were using which queries and how their response time grew over time. Specifically the customer facing API endpoints that are directly responsible for rendering the first dashboard page of the product are crucial.

    2. I looked at the Heroku metrics such as those reported by heroku pg:outlier and cross references that with "slowest response time" statistics.

    3. I reproduced the production situation as best as possible on a local development machine and test my hypothesis that an composite index on a uuid field and a timestampz field would reduce response times.

    This method secured the victory and we rolled out a new index last week. Response times plummeted. Read the full story in the blog post.

    See more

    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
    Azure Database for PostgreSQL logo

    Azure Database for PostgreSQL

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    Managed PostgreSQL database service for app developers
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    PROS OF AZURE DATABASE FOR POSTGRESQL
      Be the first to leave a pro
      CONS OF AZURE DATABASE FOR POSTGRESQL
        Be the first to leave a con

        related Azure Database for PostgreSQL posts

        Mathuba Dlamini
        Full Stack Developer at Dimension Data · | 5 upvotes · 8.5K views

        We are embarking on a project of building a Django web application on Microsoft Azure. The debate holding us back is whether to with Azure SQL Database or Azure Database for PostgreSQL. From all the tutorials and video tutorials they use Azure Database for PostgreSQL but one team member is insisting on Azure SQL Database. Please advise of what to consider if I capitulate what database do I need to install locally to get the project moving.

        See more
        ElephantSQL logo

        ElephantSQL

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        PostgreSQL as a Service
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        PROS OF ELEPHANTSQL
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          They suck
        • 1
          Monitoring
        • 1
          Geospatial support
        • 1
          Easy setup
        • 1
          Easy backup
        CONS OF ELEPHANTSQL
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          related ElephantSQL posts

          Neon Database logo

          Neon Database

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          Serverless, fault-tolerant, branchable Postgres
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          PROS OF NEON DATABASE
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            CONS OF NEON DATABASE
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              related Neon Database posts

              Crunchy Bridge logo

              Crunchy Bridge

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              A modern Postgres database service
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              PROS OF CRUNCHY BRIDGE
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                CONS OF CRUNCHY BRIDGE
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                  related Crunchy Bridge posts

                  Database Labs logo

                  Database Labs

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                  Deploy a cloud Postgres server in 1 minute.
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                  PROS OF DATABASE LABS
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                    Superb customer service, and ready to go out of the box
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                    Fastest, most effective support desk I've ever seen
                  CONS OF DATABASE LABS
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                    related Database Labs posts

                    Amazon Aurora PostgreSQL logo

                    Amazon Aurora PostgreSQL

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                    Fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine
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                    PROS OF AMAZON AURORA POSTGRESQL
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                      CONS OF AMAZON AURORA POSTGRESQL
                        Be the first to leave a con

                        related Amazon Aurora PostgreSQL posts