If your company has more than a handful of engineering teams, someone eventually asks: "which services do we even have, who owns them, and are they production-ready?" That question used to mean building an internal tool on top of Spotify's open-source Backstage — a project that can easily eat months of a platform team's time. Port and Cortex both sell a ready-made version of that same idea: a self-service catalog of every service, with automation and quality checks built in. They also explicitly list each other as alternatives, which makes them a natural head-to-head.
Port
Port's pitch is speed: a production-ready portal deployable in about a week, versus months for a self-built Backstage setup. Beyond the catalog, it ships self-service "Actions" with approval workflows for infrastructure provisioning, plus AI agents that can autonomously resolve tickets and remediate incidents under governance rules. It connects to 100+ tools out of the box — GitHub, Jira, Slack, Kubernetes, Terraform.
Price: Free for up to 15 seats, 10K entities, 500 automation runs. Basic $30/seat/month (50 seats, 50K entities). Standard $40/seat/month (200 seats, 250K entities, SSO). Enterprise custom (unlimited seats, 1M+ entities).
Strengths: generous free tier to start on, fast time-to-value, self-service automation is a first-class feature rather than an add-on.
Limits: less flexible than a fully custom Backstage build for teams with very unusual needs; $30-40/seat/month adds up fast once you're past a few dozen engineers.
Cortex
Cortex leads with visibility and accountability rather than automation: it automatically builds a service catalog and context graph across the whole engineering org, then uses "scorecards" to enforce production-readiness, compliance and reliability standards against real data — not a spreadsheet someone forgot to update. It's also added scorecards specifically for measuring how much of the codebase AI coding agents are touching. Both SOC 2 Type 2 and ISO 27001 certified, with Fortune 500 customers to show for it.
Price: Custom only — no public pricing tiers, requires booking a demo.
Strengths: strong compliance credentials for regulated or large enterprises, scorecards give engineering leaders a real, data-backed answer to "are our services actually production-ready," AI-adoption tracking is a genuinely new angle.
Limits: no self-serve signup or pricing means you can't try it without a sales conversation; the measurement-first approach puts less emphasis on self-service automation than Port; the AI-adoption scorecards are too new to have a long track record yet.
Port vs Cortex at a glance
| Port | Cortex | |
|---|---|---|
| Core strength | Self-service automation & fast setup | Service visibility & compliance scorecards |
| Starting price | Free (15 seats) → $30-40/seat/mo | Custom, sales-only |
| Try before you buy | Yes, self-serve free tier | No, demo required |
| Certifications | Not highlighted | SOC 2 Type 2, ISO 27001 |
| AI-agent tracking | AI agents for ticket/incident remediation | Scorecards for AI coding-agent adoption |
Verdict
Pick Port if you want to try before you commit, need self-service infrastructure provisioning built in, and your team is small-to-mid-sized where the per-seat pricing stays manageable. Pick Cortex if you're a larger or regulated organization that needs SOC 2/ISO-backed compliance scorecards and can commit to a sales process to get pricing. As Port's own comparison notes, the overlap between the two is more about emphasis than raw features — automation-first versus measurement-first — so the honest answer is to try Port's free tier first, since it costs nothing to see if the fit is right, and only go through Cortex's sales process if compliance scorecards are the deciding factor.