Rootly vs incident.io

Detailed side-by-side comparison to help you choose the right tool

Rootly

🟡Low Code

Incident Management & SRE

AI-native incident management platform combining on-call scheduling, response automation, AI SRE, retrospectives, and status pages — with first-party MCP support.

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Starting Price

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incident.io

🟢No Code

Incident Management & SRE

All-in-one AI incident management platform unifying on-call scheduling, real-time response, AI investigation, and integrated status pages.

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Starting Price

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Feature Comparison

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FeatureRootlyincident.io
CategoryIncident Management & SREIncident Management & SRE
Pricing Plans92 tiers106 tiers
Starting Price
Key Features

      Rootly - Pros & Cons

      Pros

      • Only major incident tool with a first-party MCP server today
      • AI SRE grounded in the customer's catalog, not generic web data
      • Genuine replacement for PagerDuty + JSM + Statuspage stack
      • MCP + OAuth lets engineers drive response from Claude or Cursor
      • Strong analytics for showing leadership how response is trending

      Cons

      • Per-seat pricing climbs quickly for large engineering orgs
      • MCP setup still requires careful OAuth scoping for production use
      • Less Slack-native than incident.io — Slack workflow is good but not the centre of gravity
      • AI SRE suggestions need ongoing tuning to stay useful
      • Smaller community than PagerDuty for cross-team integrations

      incident.io - Pros & Cons

      Pros

      • Slack-first workflow keeps responders in their existing tool
      • AI agent is grounded in the customer's catalog, not generic web knowledge
      • Genuine replacement for PagerDuty + Statuspage + Confluence stack
      • Strong analytics for showing leadership how response is trending
      • Free tier lets small teams adopt without procurement

      Cons

      • Heavy reliance on Slack — Teams-first orgs are second-class
      • AI features mostly gated to Pro tier and above
      • No public MCP server yet (Rootly leads here)
      • Per-seat pricing climbs quickly for large engineering orgs
      • On-call rotations are powerful but have a learning curve

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