Automation Integration · head to head
n8n vs Terraform
The short version
- Each has a real cost: n8n starter tier limited to 1 project and 5 concurrent executions; Terraform hCL syntax requires learning a domain-specific language with limited GUI alternatives
- They diverge on capability: n8n covers Workflow automation, Terraform covers Infrastructure as code.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which n8n and Terraform actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 n8n
- Workflow automation
- Visual editor
- Conditional execution
- Looping
- Error handling
- Scheduling
- Webhooks
- REST API
Only in Terraform
- Infrastructure as code
- Resource graph
- Plan & apply
- State management
- Provider ecosystem
- Modules
- Workspaces
- Remote backends
Both cover
- GitHub
What people use each for
The jobs each tool is most often brought in to do.
n8n
- Building AI agents and workflow automation for technical teamsnot Terraform
- Visual workflow design with capability to write custom JavaScript or Python codenot Terraform
- Enterprise deployments with self-hosted or cloud optionsnot Terraform
- Integrating 500+ pre-built applications with custom API connectionsnot Terraform
Terraform
- Multi-cloud provisioningnot n8n
- Infrastructure automationnot n8n
- Environment replicationnot n8n
- Disaster recoverynot n8n
- Compliance automationnot n8n
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
n8n
- Starter tier limited to 1 project and 5 concurrent executions
- Starter and Pro tiers restricted to Cloud hosting only, not self-hosted
- Business tier requires 6 months minimum commitment at €667/month
- SSO/SAML/LDAP authentication requires Business or Enterprise tier
- Dedicated support with SLA available only on Enterprise 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
n8n
Free- CommunityFree
- Free self-hosted version on GitHub
- Open source
- Starter$20/month
- 2,500 workflow executions
- 5 concurrent executions
- 2,300 AI credits/month
- Pro$50/month
- 10,000 workflow executions
- 20 concurrent executions
- 13,700 AI credits/month
- Business$667/month
- 40,000 workflow executions
- Self-hosted option
- 6 shared projects
Terraform
FreeNo published plan breakdown. See the Terraform review.
Which should you pick?
Choose n8n if
- You need workflow automation.
- You want to start without paying.
- You work on Web, Docker, Self-hosted.
- You also want visual editor.
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.
Questions people ask
- Is n8n or Terraform better?
- Neither clearly leads. n8n 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, n8n or Terraform?
- n8n starts at Free and Terraform at Free.
- Does n8n or Terraform run on more platforms?
- n8n runs on Web, Docker, Self-hosted. Terraform runs on Linux, macOS, Windows.
- Can I use n8n for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is n8n best used for?
- n8n is most often used for building ai agents and workflow automation for technical teams, visual workflow design with capability to write custom javascript or python code, enterprise deployments with self-hosted or cloud options, integrating 500+ pre-built applications with custom api connections. Of those, building ai agents and workflow automation for technical teams and visual workflow design with capability to write custom javascript or python code are not what Terraform is typically brought in for.
- What can n8n do that Terraform cannot?
- n8n covers Workflow automation, Visual editor, Conditional execution, Looping. Terraform covers Infrastructure as code, Resource graph, Plan & apply, State management. Both handle GitHub.
Answered from the vendors’ own pages
n8n: Is there a free version of n8n?
Yes, n8n Community Edition is free and open-source, available for self-hosting on GitHub with unlimited users and workflows.
SourceTerraform: 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.
Sourcen8n: What is the difference between n8n plans?
Plans differ by monthly workflow executions (2,500 for Starter, 10,000 for Pro, 40,000 for Business), concurrent execution limits, AI credits, and shared project counts.
SourceTerraform: 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.
Sourcen8n: Does n8n offer annual billing discounts?
Yes, n8n offers 17% off when billing annually instead of monthly, and provides a Startup Plan at 50% off Business pricing for companies under 20 employees.
SourceTerraform: 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.
SourceTerraform: 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.
SourceRelated pages
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