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Terraform Cloud vs. Stategraph Orchestration: GitOps Workflows Compared

Terraform GitHub GitOps Automation Infrastructure

Infrastructure automation is no longer a nice-to-have. For teams managing cloud environments at scale, the tooling you choose to orchestrate Terraform can shape lots of things, from release speed, automation cost structure, and your ability to enforce policy and governance.

Most teams evaluating infrastructure automation today end up comparing HashiCorp's Terraform Cloud against newer GitOps-native tools like Stategraph Orchestration. While both aim to simplify Terraform workflows, they differ drastically in how they integrate with your existing toolchain, how they scale with your org, and how much they cost you as you grow.

This guide compares Terraform Cloud and Orchestration across architecture, pricing, workflow flexibility, and use case fit, so you can make the right decision for your team.


1. Cost Model: Predictable vs. Variable

Stategraph Orchestration Terraform Cloud
Pricing model Flat pricing (by seat or fixed usage tiers) Consumption-based (resource hours)
OSS core Yes (MPL-2.0) No (closed-source)
Free tier Generous (all features) Up to 500 resources, then pay-per-resource-hour
Self-hosting Fully supported (OSS free) Requires Terraform Enterprise (separate product)
Private runners Unlimited free forever Pay for each private runner (hidden cost)

Terraform Cloud recently switched to a resource-based pricing model. You pay based on the number of hours each Terraform resource exists in your state, whether or not you're actively changing it. This introduces unpredictable costs, especially for teams managing hundreds or thousands of resources across environments.

Orchestration offers a simpler model: use it open-source, self-hosted, or pay for a managed version with all features. No limits based on resource count. No surprises in your invoice.


2. Architecture: GitHub-Native vs. Web UI + Remote Execution

Terraform Cloud

Pulls your code into its platform, runs Terraform remotely, and shows results in its own UI. You configure workspaces, triggers, variables, and policies inside TFC.

Stategraph Orchestration

Orchestrates Terraform via GitHub pull requests using GitHub Actions. All automation lives inside your repo and CI. No external web UI required.

Architecture Comparison Diagram

Orchestration doesn't pull your code or credentials into a third-party platform. It runs inside your CI (via GitHub Actions or private runners), using your secrets, your IAM roles, and your GitHub workflows.


3. Workflow Flexibility: Multi-Repo, Tags, Approval Gates

Stategraph Orchestration is uniquely expressive when it comes to customizing workflows. It was designed for mono-repos, multi-environment IaC, and granular control over plan/apply behavior.

With Orchestration, you can:

Terraform Cloud workflows are defined by workspaces and UI configuration. If you want deep customization (e.g. "only allow applies to prod from staging branch, reviewed by platform team"), you'll likely need Sentinel policies, which add complexity and a learning curve.


4. Use Case Fit: When to Choose

Choose Stategraph Orchestration if:

Choose Terraform Cloud if:


5. Visualizing the Difference

Stategraph Orchestration GitOps Flow:

  1. Dev opens PR with Terraform change
  2. Orchestration comments with plan
  3. Approvals happen in GitHub (status checks, reviews)
  4. Merge → Orchestration applies
  5. All history stays in GitHub

Terraform Cloud Flow:

  1. Push code → triggers workspace run
  2. Plan/Apply managed in TFC UI
  3. Sentinel policies may gate apply
  4. State is managed in TFC backend

Final Thoughts: GitHub-Native vs. Terraform-Native

Terraform Cloud works best for teams that want a managed UI-centric experience with tight HashiCorp integration.

Stategraph Orchestration, by contrast, embraces the GitOps model: your repos are the source of truth, your workflows live in GitHub, and your teams own the lifecycle of infra changes through familiar tooling.

For orgs that want flexibility, transparency, cost control, and developer-friendliness, Orchestration offers a modern alternative that fits how teams already work.


Have questions? Join the Stategraph community Slack.