Amazon RDS for PostgreSQL vs ElephantSQL

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Amazon RDS for PostgreSQL

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ElephantSQL

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Amazon RDS for PostgreSQL vs ElephantSQL: What are the differences?

Developers describe Amazon RDS for PostgreSQL as "* Set up, operate, and scale PostgreSQL deployments in the cloud". 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. On the other hand, *ElephantSQL** is detailed as "PostgreSQL as a Service". 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.

Amazon RDS for PostgreSQL and ElephantSQL can be categorized as "PostgreSQL as a Service" tools.

Some of the features offered by Amazon RDS for PostgreSQL are:

  • Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.
  • DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.
  • Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.

On the other hand, ElephantSQL provides the following key features:

  • Continuous backup to S3
  • Automatic failover
  • 24/7 monitoring
Advice on Amazon RDS for PostgreSQL and ElephantSQL

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)
Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 38.4K views

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

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David Weinberg

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

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