Engineering metrics comparison

Koalr vs PagerDuty

PagerDuty is the enterprise standard for on-call and incident response. Koalr adds what PagerDuty doesn't: pre-merge deploy risk prediction, DORA metrics, CODEOWNERS governance, and AI chat on your live engineering data — at a fraction of the cost.

Feature comparison

FeatureKoalrPagerDuty
Deploy risk prediction (pre-merge)
LLM chat on live engineering data
CODEOWNERS sync + enforcement
Coverage-risk correlation
DORA metrics⚠️ Via partner
AI tool adoption tracking (Copilot/Cursor)
Incident correlation
Deployment platform connectors (10+)
Free tier
Open API / webhooks out

✅ Full support  ·  ⚠️ Partial / limited  ·  ❌ Not available

3 reasons teams switch from PagerDuty to Koalr

🛡️

Deploy risk prediction before every deploy

PagerDuty manages incidents after they start. Koalr scores every PR 0–100 across 23 research-validated signals — so you know which deployments are risky before you push the button. The best incident is the one that never happens.

📊

Native DORA metrics — no integrations, no ETL

PagerDuty requires third-party tools for DORA metrics. Koalr computes deploy frequency, lead time, change failure rate, and MTTR natively from your GitHub and incident data — no middleware, no stale dashboards.

💬

AI chat on your live engineering data

Koalr's conversational AI answers questions about your PRs, deployments, incidents, and team velocity in natural language. PagerDuty's AIOps surfaces alerts — it doesn't answer engineering questions.

💰

Full feature set at a fraction of the cost

PagerDuty starts at $21/user/month and rises steeply with add-ons. Koalr starts free and includes deploy risk prediction, DORA metrics, incident intelligence (MTTR, CFR, deploy correlation), and AI chat — features that cost $50+ per user in the PagerDuty ecosystem.

Switching from PagerDuty? We'll help you migrate.

Our team will walk you through setup, data migration, and getting your first risk scores in under an hour. No lengthy onboarding — just results.