Amazon RDS for PostgreSQL vs Database Labs vs Heroku Postgres

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Amazon RDS for PostgreSQL

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Database Labs

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Heroku Postgres

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Advice on Amazon RDS for PostgreSQL, Database Labs, and Heroku 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

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

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 45.9K views

DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.

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Pros of Amazon RDS for PostgreSQL
Pros of Database Labs
Pros of Heroku Postgres
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
  • 1
    Superb customer service, and ready to go out of the box
  • 1
    Fastest, most effective support desk I've ever seen
  • 29
    Easy to setup
  • 3
    Follower databases
  • 3
    Dataclips for sharing queries
  • 3
    Extremely reliable

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Cons of Amazon RDS for PostgreSQL
Cons of Database Labs
Cons of Heroku Postgres
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      Be the first to leave a con
      • 2
        Super expensive

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      No Stats

      What is 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.

      What is Database Labs?

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

      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 Amazon RDS for PostgreSQL?
      What companies use Database Labs?
      What companies use Heroku Postgres?
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        What tools integrate with Amazon RDS for PostgreSQL?
        What tools integrate with Database Labs?
        What tools integrate with Heroku Postgres?
          No integrations found

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          Blog Posts

          DockerAmazon EC2Scala+8
          What are some alternatives to Amazon RDS for PostgreSQL, Database Labs, and Heroku Postgres?
          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.
          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 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
          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
          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.
          See all alternatives