Terraform Cloud vs Atlantis vs Spacelift — Which to Use? (2026)

When your team has more than one person running Terraform, you need a collaboration platform. Otherwise: state file conflicts, who-ran-what confusion, and "it worked on my machine" infrastructure. Three options dominate in 2026.

The Problem They Solve

Without a Terraform collaboration platform:

• Two engineers run terraform apply simultaneously → state corruption
• No visibility into what's planned before apply
• Secrets in local .env files
• No approval workflow before destroying production

All three tools solve this by centralizing Terraform execution.

Atlantis

Open-source, self-hosted, GitOps-first. Created by Palantir, now community-maintained.

How it works

Developer opens PR
       ↓
Atlantis detects .tf changes
       ↓
Runs `terraform plan` → posts output as PR comment
       ↓
Reviewer approves PR
       ↓
Merge → Atlantis runs `terraform apply` automatically

Setup

# atlantis.yaml (repo-level config)
version: 3
projects:
- name: production
  dir: terraform/environments/production
  workspace: default
  autoplan:
    when_modified: ["*.tf", "../modules/**/*.tf"]
    enabled: true
  apply_requirements: [approved]   # require PR approval

# Kubernetes deployment
helm repo add runatlantis https://runatlantis.github.io/helm-charts
helm install atlantis runatlantis/atlantis \
  --set orgAllowlist="github.com/your-org/*" \
  --set github.user="atlantis-bot" \
  --set github.token="ghp_..." \
  --set github.secret="webhook-secret" \
  --set atlantisUrl="https://atlantis.yourdomain.com"

Pros

• Free (open-source, self-hosted)
• GitOps-native — plan/apply happen in PRs
• Full control over execution environment
• Supports multiple Terraform versions
• Runs in your infrastructure (no data leaves)

Cons

• Self-hosted = you maintain it
• No built-in state backend (still need S3/GCS + DynamoDB)
• Basic UI (PR comments only)
• No drift detection
• Limited role-based access control

Best for

• Teams who want free + open source
• GitHub/GitLab-heavy workflows
• Strong preference for keeping everything in-house
• Small to medium teams (< 50 engineers)

Terraform Cloud (HCP Terraform)

HashiCorp's managed platform. Previously free, now requires a HashiCorp account.

How it works

terraform {
  cloud {
    organization = "my-org"
    workspaces {
      name = "production"
    }
  }
}

terraform login      # authenticates with HCP
terraform init       # connects workspace to HCP Terraform
terraform plan       # runs remotely in HCP

Features

Remote state: Built-in state storage with locking — no S3/DynamoDB setup needed.

Remote runs: Plans and applies run on HCP infrastructure, not your laptop.

Private registry: Share Terraform modules across your org.

Sentinel policies: Policy-as-code to block unsafe changes:

# Sentinel: deny public S3 buckets
import "tfplan/v2" as tfplan
 
s3_buckets = filter tfplan.resource_changes as _, resource {
  resource.type is "aws_s3_bucket_acl"
}
 
main = rule {
  all s3_buckets as _, bucket {
    bucket.change.after.acl is not "public-read"
  }
}

Pricing (2026)

Pros

• Managed — no self-hosting
• Built-in state backend
• Good UI for viewing runs, history
• Sentinel policy framework
• Native HashiCorp support
• VCS integration (GitHub, GitLab, Bitbucket)

Cons

• Costs money at team scale
• Lock-in to HashiCorp ecosystem
• Sentinel only on paid tiers
• Internet-required for runs (vs self-hosted)
• Free tier is limited

Best for

• Teams already using HashiCorp tools (Vault, Packer)
• Wanting managed + official support
• Medium to large organizations

Spacelift

The most feature-rich option. Purpose-built for IaC collaboration.

What makes it different

Spacelift supports multiple IaC tools, not just Terraform:

• Terraform / OpenTofu
• Pulumi
• CloudFormation
• Ansible
• Kubernetes (kubectl apply)

# .spacelift/config.yml
version: "1"
stacks:
  production:
    name: "Production AWS"
    terraform:
      version: "1.7.0"
    environment:
      - TF_VAR_environment=production
    policies:
      - production-approval

Stack dependencies:

networking stack → must apply before → compute stack

Drift detection:

Spacelift checks every 30 minutes:
"Has someone changed infrastructure outside Terraform?"
→ Opens a drift PR automatically

Custom runners:

# Use your own Docker image for runs
runner_image: my-company/terraform-runner:1.0

Pricing (2026)

Pros

• Multi-IaC support (Terraform + Pulumi + Ansible + more)
• Drift detection built-in
• Stack dependencies for complex infra
• Better policy engine than Atlantis
• SaaS — no self-hosting
• Beautiful UI

Cons

• Most expensive option
• Newer company (less battle-tested than HashiCorp)
• Overkill for simple Terraform use cases
• Vendor lock-in (proprietary platform)

Best for

• Teams using multiple IaC tools
• Need drift detection
• Complex dependency chains between stacks
• Want polished UI + SaaS convenience

Side-by-Side Comparison

Which Should You Use?

Use Atlantis if:

✅ Budget is zero
✅ Team is < 20 engineers
✅ You're comfortable self-hosting
✅ GitHub/GitLab PR-based workflow is enough

Use Terraform Cloud if:

✅ You want managed + official HashiCorp support
✅ Already using Vault, Packer, other HashiCorp tools
✅ Need Sentinel policy framework
✅ Don't want to maintain infrastructure

Use Spacelift if:

✅ You use multiple IaC tools (Terraform + Pulumi/Ansible)
✅ Drift detection is critical
✅ Complex stack dependencies
✅ Budget allows ≥ $250/month

The most common pattern in 2026:

Small teams start with Atlantis (free). When they hit scaling issues or need drift detection, they move to Spacelift or Terraform Cloud.

Resources

• Atlantis Docs — open-source, self-host guide
• HCP Terraform — free tier to test
• KodeKloud Terraform Course — Terraform fundamentals + advanced