Amazon Web Services (AWS) icon

Amazon Web Services (AWS)

★★★★★ 4.5
VS
Pulumi icon

Pulumi

★★★★ 4.4
Feature Amazon Web Services (AWS) Pulumi
Pricing Free / from $0/mo Free / from $50/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.5 / 5 4.4 / 5
Best For enterprises, startups, large-scale-applications, machine-learning-teams developers, platform-engineers, polyglot-teams, cloud-architects
Founded 2006 2017
Compute Ec2
Storage S3
Serverless Lambda
Databases Rds
Machine Learning
Containers Ecs
Cdn Cloudfront
Programming Languages
Multi Cloud
State Management
Policy As Code
Secrets Management
Pulumi Ai
Drift Detection

✓ Amazon Web Services (AWS) Pros

  • Most extensive service catalog of any cloud provider
  • Global infrastructure with 30+ regions worldwide
  • 12-month free tier covering many services
  • Mature enterprise tooling and compliance certifications

✗ Amazon Web Services (AWS) Cons

  • Complex pricing that is hard to predict
  • Steep learning curve with overwhelming service count
  • Console UI feels dated compared to competitors

✓ Pulumi Pros

  • Use real programming languages instead of DSLs
  • Strong typing and IDE support for infrastructure code
  • Multi-cloud support with consistent API
  • Pulumi AI generates infrastructure code from prompts

✗ Pulumi Cons

  • Smaller community than Terraform
  • State management requires Pulumi Cloud or self-hosting
  • Less third-party provider coverage than Terraform

The Verdict

Amazon Web Services (AWS) is built for enterprises and startups, with a focus on compute-ec2 and storage-s3. Pulumi targets developers and platform engineers and leads with programming-languages and multi-cloud.

On pricing, Amazon Web Services (AWS) is the clear winner for budget-conscious users — starting at $0/mo compared to $50/mo for Pulumi. That $50/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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