Heroku vs. AWS

As AI technology advances, choosing the right platform is crucial for your team's speed, governance, and long-term success. Both Heroku and AWS have their strengths. The sections below compare them across developer experience, scalability, and total cost of ownership.

As AI technologies evolve, delivering and scaling applications has become essential for powering modern businesses, from AI startups to large-scale enterprises. There are various solutions available, including comprehensive cloud operating systems, managed Platform-as-a-Service (PaaS), and traditional IaaS. Selecting the right platform is crucial for your team's velocity, governance, and long-term success.

Heroku and AWS both bring unique strengths to application delivery, each with its own capabilities and limitations. The best choice depends on your specific use case and requirements. In the following sections, we'll compare both platforms regarding developer experience, scalability, and total cost of ownership, helping you determine the most suitable option for your needs—even if it's not us.

Heroku vs. AWS at a Glance

Feature	Heroku	AWS
Infrastructure	Proprietary PaaS	AWS-managed PaaS
Source Available
Deployment Options	Cloud only Private Spaces: Enterprise	AWS cloud only
Free Trial	No free tier (Eco $5/mo)	AWS free tier (limited)
Max vCPU per Service	Performance-2XL: 128GB	Plan-based (EC2 instance types)
Max RAM per Service	Performance-2XL: 128GB	Plan-based (EC2 instance types)
Custom Domains	Multiple (per app)	(Route 53 / ALB)
Replicas per Service	Plan-based (dyno limits)	Plan-based (Auto Scaling)
Cron Jobs	Via add-on (Scheduler)	CloudWatch/EventBridge
Log Retention	Limited (1500 lines; add-ons)	Configurable (CloudWatch)
Scale-to-Zero	Eco dynos sleep
App Marketplace

Cost evidence

Monthly Cost Examples: Plans vs. Usage Billing

Estimates use the listed average CPU and RAM for a 30-day month. Storage and egress are excluded unless a platform note says otherwise.

Workload examplePlatform and monthly costEstimated difference

Small API

2 vCPU, 4GB RAM, 24/7

HerokuEstimate

~$200/mo

AWSEstimate

~$90/mo

Heroku 72% lower

Medium App

8 vCPU, 16GB RAM, 24/7

HerokuEstimate

~$800/mo

AWSEstimate

~$320/mo

Heroku 60% lower

Production Stack

16 vCPU, 32GB RAM, 24/7

HerokuEstimate

~$1,600/mo

AWSEstimate

~$600/mo

Heroku 15% lower

Small API

2 vCPU, 4GB RAM, 24/7

HerokuEstimate

~$200/mo

AWSEstimate

~$90/mo

Heroku 72% lower

Medium App

8 vCPU, 16GB RAM, 24/7

HerokuEstimate

~$800/mo

AWSEstimate

~$320/mo

Heroku 60% lower

Production Stack

16 vCPU, 32GB RAM, 24/7

HerokuEstimate

~$1,600/mo

AWSEstimate

~$600/mo

Heroku 15% lower

Heroku calculation: Standard-2X dynos $50/mo each, scaled to approximate RAM requirements

AWS calculation: EC2 + ELB + CloudWatch over 720 hours/month

Sources:Heroku Pricing·AWS Elastic Beanstalk Pricing

Heroku Overview

Heroku is a mature Platform-as-a-Service (PaaS) built around git-based deployment and buildpacks. It runs applications on dynos (managed Linux containers), pairs seamlessly with the Heroku CLI and GitHub integration, and offers Pipelines, Review Apps, and a large add-ons marketplace. The platform abstracts infrastructure details for teams that want a fast path from code to production with a predictable, dyno-based pricing model.

AWS Overview

AWS Elastic Beanstalk is a mature AWS-native PaaS that automates deployment and scaling on top of EC2, ELB, Auto Scaling, and CloudWatch. It supports multiple runtimes, integrates deeply with AWS services, and lets teams deploy via the EB CLI or console. Beanstalk simplifies infrastructure management while keeping you inside the AWS ecosystem and cost model.