Terrateam
by Terrateam · GitOps orchestration for infrastructure as code in pull requests
BenchRank score
Screenshots of Terrateam
Homepage
Overview
Terrateam runs infrastructure-as-code workflows inside pull requests: it plans changes, estimates cost, applies OPA, Conftest or Checkov policies, and enforces approval rules before an apply is triggered by a PR comment. It supports Terraform, OpenTofu, Terragrunt, Pulumi, CDKTF and custom CLIs, is configured by a YAML file in the repository, and runs in its cloud or self-hosted.
- Best for
- Platform teams running Terraform or OpenTofu changes through GitHub or GitLab pull requests
- Pricing
- Free tier at $0/month for 50 runs, 3 users and 1 private runner; one paid plan, Pro, at $12,000/year ($1,000/month billed annually) with a 30-day trial.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Free tier carries every feature, limited by usage not by function
- Works with Terraform, OpenTofu, Terragrunt, Pulumi and custom CLIs
- Flat $12,000/year price published, no per-seat or per-run metering
- Cost estimation and policy checks run inside the pull request
Trade-offs
- Free tier stops at 50 runs a month, 3 users and 1 private runner
- One jump from free to $12,000/year, with no plan in between
- Self-hosting, priority support and 365-day audit are paid-plan only
- Pro is billed annually; no month-to-month billing option is shown
How Terrateam markets itself
A structured read of the promise, proof and page design on Terrateam’s captured homepage.
Homepage capture
“Run Terraform in pull requests without the constraints”
- Angle: Contrarian / anti-incumbent
- Hero: Product screenshot
Pricing
Published plans and prices from Terrateam’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with Terrateam’s score
Where this comes from
The Terrateam pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in Orchestration & Scheduling
Ranked 1
82.4 — BenchRank score out of 100Prefect
Prefect · Python-decorator workflow orchestration for data, ML and agents
Best for: Python data and ML teams that want scheduled, self-retrying pipelines without hosting a scheduler
Ranked 2
80.9 — BenchRank score out of 100Temporal
Temporal · Durable execution for workflows, AI agents and long-running jobs
Best for: Engineering teams running long workflows, pipelines or AI agents that must survive crashes and retries
Ranked 3
78.9 — BenchRank score out of 100Inngest
Inngest · Durable execution for background jobs, workflows and AI agents
Best for: Teams adding retries, flow control and step-level tracing to background jobs and AI agents.
Is this your product?
Claim Terrateam to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.