PagerDuty vs Opsgenie

Feature comparison

PagerDuty and Opsgenie cover similar core incident-response ground — on-call schedules, escalation policies, multi-channel notifications, and post-incident review — but diverge on platform breadth and AIOps depth.

PagerDuty positions itself as an operations cloud rather than a pure alerting tool. The core platform handles on-call and incident response, with Event Intelligence adding noise reduction, alert grouping, and AIOps-style change correlation. PagerDuty Customer Service Operations extends incident workflow to customer support, Automation Actions and Process Automation run runbooks against affected systems, and Status Pages provide public communication. The integration catalogue exceeds 700 monitoring, ChatOps, ticketing, and ITSM tools, with deep Slack, Microsoft Teams, ServiceNow, and Salesforce integration.

Opsgenie, an Atlassian product, has narrower platform scope but tighter Atlassian alignment. On-call schedules, escalation policies, and incident response work well and are typically procured alongside Jira Service Management for ITSM, Confluence for runbooks, and Atlassian Statuspage for customer communication. The integration catalogue covers approximately 250 tools and is sufficient for most monitoring and ChatOps needs. The Atlassian Intelligence layer has added AI assistance to Opsgenie, although the AIOps and event-intelligence depth remains lighter than PagerDuty's.

For mobile experience, both vendors are mature with reliable push, SMS, and voice escalation. PagerDuty's mobile app is generally regarded as more polished for on-call ergonomics. For audit and compliance, PagerDuty offers FedRAMP Moderate, HIPAA, SOC 2 Type 2, and ISO 27001; Opsgenie offers SOC 2 Type 2 and Atlassian Cloud compliance posture including PCI DSS and ISO 27001.

For workflow automation, PagerDuty's Process Automation (formerly Rundeck) provides runbook orchestration that Opsgenie does not match natively, requiring third-party tools or Atlassian Forge apps to close the gap.

Pricing comparison

PagerDuty lists Professional at $21 per user per month, Business at $41 per user per month, and Digital Operations at custom pricing as of May 2026. Event Intelligence and Process Automation are paid add-ons or bundled in Digital Operations. A 200-responder enterprise deployment with Event Intelligence typically lands in the $150K–280K range annually before negotiation. Customer Service Operations is licensed separately and meaningfully expands the deal size where adopted.

Opsgenie lists Standard at $19 per user per month and Enterprise at $29 per user per month, with Essentials at $9 for smaller teams. A 200-responder deployment typically runs $50K–80K annually before discount, materially cheaper than PagerDuty for equivalent on-call coverage. Buyer-side caveat: Atlassian Cloud customers should validate the bundled commercial terms across Jira Service Management, Opsgenie, and Statuspage rather than reading list pricing per product, since enterprise Atlassian agreements typically blend the components. PagerDuty buyers should price-model the operations-cloud add-ons carefully, since Event Intelligence, Customer Service, and Process Automation can each add 30 to 60 percent to the base contract.

When to choose PagerDuty

Choose PagerDuty when the buyer wants an operations cloud rather than a pure alerting tool, when AIOps event intelligence and automated runbook execution are part of the target operating model, and when customer service operations and incident communication tooling will be consolidated alongside on-call. It fits large SRE organisations standardising incident response across many teams, regulated industries needing FedRAMP Moderate, and enterprises consolidating ITSM, observability, and customer-impact communication onto a single operations vendor.

When to choose Opsgenie

Choose Opsgenie when the organisation is already standardised on Atlassian for Jira Service Management, Confluence, and Statuspage, when on-call alerting is the primary requirement rather than a broader operations cloud, and when commercial simplicity matters. It fits engineering-led teams using Jira as the system of record for incidents, mid-market enterprises wanting predictable per-user pricing, and organisations that prefer to keep AIOps and automation in adjacent specialised tools rather than the alerting platform itself.

Alternatives to both