Amazon RDS for PostgreSQL vs Amazon S3 vs Heroku Postgres

Need advice about which tool to choose?Ask the StackShare community!

Amazon RDS for PostgreSQL

819
596
+ 1
40
Amazon S3

54K
39.1K
+ 1
2K
Heroku Postgres

632
311
+ 1
38
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Amazon RDS for PostgreSQL
Pros of Amazon S3
Pros of Heroku Postgres
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
  • 590
    Reliable
  • 492
    Scalable
  • 456
    Cheap
  • 329
    Simple & easy
  • 83
    Many sdks
  • 30
    Logical
  • 13
    Easy Setup
  • 11
    REST API
  • 11
    1000+ POPs
  • 6
    Secure
  • 4
    Plug and play
  • 4
    Easy
  • 3
    Web UI for uploading files
  • 2
    Faster on response
  • 2
    Flexible
  • 2
    GDPR ready
  • 1
    Easy to use
  • 1
    Plug-gable
  • 1
    Easy integration with CloudFront
  • 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 Amazon RDS for PostgreSQL
Cons of Amazon S3
Cons of Heroku Postgres
    Be the first to leave a con
    • 7
      Permissions take some time to get right
    • 6
      Requires a credit card
    • 6
      Takes time/work to organize buckets & folders properly
    • 3
      Complex to set up
    • 2
      Super expensive

    Sign up to add or upvote consMake informed product decisions

    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 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

    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 Amazon S3?
    What companies use Heroku Postgres?

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon RDS for PostgreSQL?
    What tools integrate with Amazon S3?
    What tools integrate with Heroku Postgres?

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

    What are some alternatives to Amazon RDS for PostgreSQL, Amazon S3, 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
    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