StackMatch / Compare / Spacelift vs Scalr
Honest Tool Comparison

Spacelift vs Scalr

An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.

Spacelift

professional
Cloud Infrastructure & DevOps

Infrastructure-as-code CI/CD platform — policy-driven workflows for Terraform, OpenTofu, Pulumi, and Kubernetes.

Free: 2 users, limited. Cloud Starter: from $450/month. Enterprise: custom with self-hosted option.

Scalr

professional
Cloud Infrastructure & DevOps

Remote state and operations platform for Terraform and OpenTofu with a hierarchical environment model.

Free: up to 5 contributors. Standard: from ~$20/contributor/month. Enterprise: custom.

Side-by-Side Comparison

Objective metrics, no spin.

N/A
Rating
N/A
professional
Pricing tier
professional
medium
Learning curve
medium
1–3 weeks to migrate from Terraform Cloud or Atlantis
Setup time
2–4 weeks for enterprise rollout
4 listed
Integrations
4 listed
medium, large, enterprise
Best company size
medium, large, enterprise
Top Features
Stack dependencies and drift detection
OPA-based policies on plans and pushes
Private workers for VPC-only access
Self-service stacks via Blueprints
Features
Top Features
Hierarchical account/environment/workspace scoping
Inherited variables and OPA policies
Self-hosted agent pools
Full Terraform Cloud API compatibility
Choose Spacelift if...

Growing infra teams whose Terraform repos have outgrown manual reviews and need policy-as-code, drift detection, and safer concurrent runs.

Avoid Spacelift if...

Small teams with a handful of Terraform modules — Atlantis or HCP Terraform free tier is cheaper and adequate.

Choose Scalr if...

Enterprises with many Terraform workspaces who want inherited policies and variables instead of copy-paste across workspaces.

Avoid Scalr if...

Small teams — the hierarchy model is overkill when you have fewer than ~10 workspaces.

Shared Integrations (2)

Both tools connect to these — you won't lose workflow continuity whichever you pick.

TerraformGitHub

Both suited for: medium, large, enterprise companies

Since both tools target medium and large and enterprise companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.

Still not sure? Describe your situation.

The AI advisor knows both tools and your full stack. Tell it your company size, current tools, and what's not working — it'll tell you which one actually fits.

Ask AI Advisor →

Other Cloud Infrastructure & DevOps Tools to Consider

If neither is the right fit, these are the next best alternatives in the same category.

Vercel

free

The frontend cloud — deploy, scale, and iterate on web applications instantly.

View profile →

Railway

starter

Modern cloud platform — deploy any stack in minutes without infrastructure expertise.

View profile →

Modal

free

Serverless compute for AI — run Python functions on GPUs with one decorator, no infra to manage.

View profile →
← Browse all tool comparisons