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AWS (Amazon Web Services) vs Terraform

AWS (Amazon Web Services) logo

AWS (Amazon Web Services)

Software

The leading cloud computing platform

From
Free
Rated
-
Full reviewWebsite
Terraform logo

Terraform

Software

Automate infrastructure on any cloud

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS (Amazon Web Services) data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills; Terraform hCL syntax requires learning a domain-specific language with limited GUI alternatives
  • They diverge on capability: AWS (Amazon Web Services) covers EC2 - Virtual Servers, Terraform covers Infrastructure as code.

Where they differ

Only the attributes on which AWS (Amazon Web Services) and Terraform actually diverge.

Attributes where AWS (Amazon Web Services) and Terraform differ
AttributeAWS (Amazon Web Services)Terraform
Pricing modelusage-basedUnknown
PlatformsWeb, Api, Cli, MobileLinux, macOS, Windows
Founded20062012

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in AWS (Amazon Web Services)

  • EC2 - Virtual Servers
  • S3 - Object Storage
  • RDS - Managed Database
  • Lambda - Serverless Computing
  • CloudFront - CDN
  • VPC - Virtual Network
  • IAM - Access Management
  • CloudWatch - Monitoring

Only in Terraform

  • Infrastructure as code
  • Resource graph
  • Plan & apply
  • State management
  • Provider ecosystem
  • Modules
  • Workspaces
  • Remote backends

Both cover

  • Kubernetes
  • Datadog

What people use each for

The jobs each tool is most often brought in to do.

AWS (Amazon Web Services)

  • Web hostingnot Terraform
  • Data storagenot Terraform
  • Machine learningnot Terraform
  • Big data analyticsnot Terraform
  • Application developmentnot Terraform

Terraform

  • Multi-cloud provisioningnot AWS (Amazon Web Services)
  • Infrastructure automationnot AWS (Amazon Web Services)
  • Environment replicationnot AWS (Amazon Web Services)
  • Disaster recoverynot AWS (Amazon Web Services)
  • Compliance automationnot AWS (Amazon Web Services)

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AWS (Amazon Web Services)

  • Data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
  • Discounts require one or three year Savings Plan commitments rather than being automatic
  • Every service is priced separately, so a working architecture has no single published cost
  • The free tier is a promotional allowance rather than an ongoing free plan

Terraform

  • HCL syntax requires learning a domain-specific language with limited GUI alternatives
  • State file management is complex, especially at scale with multiple workspaces
  • terraform import workflow is fiddly and must be done one resource at a time
  • No native error handling or try-catch capabilities like traditional programming languages
  • No automatic rollback capability - must manually delete and re-run if needed

Pricing, plan by plan

AWS (Amazon Web Services)

Free
  • AWS Free TierFree
    • EC2 750 hours/month
    • 5GB S3 storage
    • 20GB data transfer
  • Pay-As-You-GoFree
    • No upfront payment
    • No long-term commitments
    • Pay only for what you use

Terraform

Free

No published plan breakdown. See the Terraform review.

Which should you pick?

Choose AWS (Amazon Web Services) if

  • You need ec2 - virtual servers.
  • You want to start without paying.
  • You work on Web, Api, Cli, Mobile.
  • You also want s3 - object storage.
AWS (Amazon Web Services) review

Choose Terraform if

  • You need infrastructure as code.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want resource graph.
Terraform review

Questions people ask

Is AWS (Amazon Web Services) or Terraform better?
Neither clearly leads. AWS (Amazon Web Services) starts at Free and Terraform at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS (Amazon Web Services) or Terraform?
AWS (Amazon Web Services) starts at Free and Terraform at Free.
Does AWS (Amazon Web Services) or Terraform run on more platforms?
AWS (Amazon Web Services) runs on Web, Api, Cli, Mobile. Terraform runs on Linux, macOS, Windows.
Can I use AWS (Amazon Web Services) for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS (Amazon Web Services) best used for?
AWS (Amazon Web Services) is most often used for web hosting, data storage, machine learning, big data analytics. Of those, web hosting and data storage are not what Terraform is typically brought in for.
What can AWS (Amazon Web Services) do that Terraform cannot?
AWS (Amazon Web Services) covers EC2 - Virtual Servers, S3 - Object Storage, RDS - Managed Database, Lambda - Serverless Computing. Terraform covers Infrastructure as code, Resource graph, Plan & apply, State management. Both handle Kubernetes, Datadog.

Answered from the vendors’ own pages

Terraform: Is there a free tier?

Yes. The free tier supports up to 500 managed resources and 1 concurrent run. The legacy free tier ends March 31, 2026; remaining organizations auto-convert to the enhanced free tier.

Source
Terraform: What clouds does Terraform support?

Terraform supports AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud, Docker, and HashiCorp's own HCP Terraform managed service, with over 2000 providers available.

Source
Terraform: Do I need HCP Terraform Cloud or can I run locally?

Terraform runs locally by default, storing state on your machine. For team collaboration and production use, remote backends like S3, Azure Storage, or HCP Terraform are recommended for locking and security.

Source
Terraform: Is HCL hard to learn?

HCL is designed to be human-readable and sits between JSON and YAML. It supports comments, variables, functions, and conditional logic. While beginners can get started quickly, mastering advanced features takes practice.

Source
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