Amazon RDS vs Heroku Postgres

Struggling to choose between Amazon RDS and Heroku Postgres? Both products offer unique advantages, making it a tough decision.

Amazon RDS is a Online Services solution with tags like database, relational-database, cloud-database, aws, amazon-web-services.

It boasts features such as Automated provisioning, OS patching, and backups, Read replicas for improved read performance, Multi-AZ deployments for high availability, Supports multiple database engines (MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora), Automatic scaling of compute and storage resources, Monitoring and logging capabilities, Secure access and data encryption and pros including Reduced database administration overhead, Scalable and highly available database infrastructure, Supports a variety of database engines, Automatic backups and disaster recovery options, Integrated with other AWS services for easier management.

On the other hand, Heroku Postgres is a Online Services product tagged with cloud, postgresql, managed-service.

Its standout features include Fully-managed PostgreSQL database service, Automatic management, security, and backups, Easy scaling and high availability, Seamless integration with Heroku platform, Comprehensive monitoring and metrics, and it shines with pros like Eliminates the need to manage database infrastructure, Provides a reliable and scalable database service, Offers automatic backups and disaster recovery, Integrates well with Heroku's platform and ecosystem, Provides a user-friendly interface and CLI.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Amazon RDS

Amazon RDS

Amazon Relational Database Service (Amazon RDS) is a cloud-based relational database service that makes it easy to set up, operate, and scale databases in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks.

Categories:
database relational-database cloud-database aws amazon-web-services

Amazon RDS Features

  1. Automated provisioning, OS patching, and backups
  2. Read replicas for improved read performance
  3. Multi-AZ deployments for high availability
  4. Supports multiple database engines (MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora)
  5. Automatic scaling of compute and storage resources
  6. Monitoring and logging capabilities
  7. Secure access and data encryption

Pricing

  • Pay-As-You-Go

Pros

Reduced database administration overhead

Scalable and highly available database infrastructure

Supports a variety of database engines

Automatic backups and disaster recovery options

Integrated with other AWS services for easier management

Cons

Vendor lock-in with AWS

Limited control over the underlying infrastructure

Potential performance limitations compared to on-premises databases

Additional costs for advanced features and high-availability configurations


Heroku Postgres

Heroku Postgres

Heroku Postgres is a managed SQL database service provided by Heroku. It offers production-ready PostgreSQL databases as a service with automatic management, security, backups, and easy scaling.

Categories:
cloud postgresql managed-service

Heroku Postgres Features

  1. Fully-managed PostgreSQL database service
  2. Automatic management, security, and backups
  3. Easy scaling and high availability
  4. Seamless integration with Heroku platform
  5. Comprehensive monitoring and metrics

Pricing

  • Subscription-Based

Pros

Eliminates the need to manage database infrastructure

Provides a reliable and scalable database service

Offers automatic backups and disaster recovery

Integrates well with Heroku's platform and ecosystem

Provides a user-friendly interface and CLI

Cons

Can be more expensive than self-managed PostgreSQL

Limited control over the underlying infrastructure

Potential vendor lock-in with Heroku platform

Limited customization options compared to self-managed PostgreSQL