Dynatrace vs PagerDuty
Dynatrace and PagerDuty are both Uptime & monitoring tools. Here is how they compare on pricing, audience, platforms and community votes.
AI-driven observability and app security for large cloud estates
On-call scheduling, alerting and incident response for ops teams
| Pricing | Paid | Freemium · $25 |
| Built for | Enterprise, Developers | Developers, Enterprise, Small businesses |
| Platforms | web | web, ios, android |
| Country | US · 2005 | US · 2009 |
| Community votes | 0 | 0 |
| Rating | — | — |
Dynatrace
Dynatrace is an enterprise observability platform that monitors applications, infrastructure, logs, user experience and runtime security from one data store. It began in 2005 as dynaTrace software in Linz, Austria, and has traded on the NYSE since 2019, with headquarters now in the United States. Its core job is pinpointing which service or dependency caused an incident.
The platform rests on OneAgent, a single agent that auto-instruments hosts, containers and code; Smartscape, a live dependency map; Grail, a data lakehouse queried with DQL; and a causal AI engine that groups alerts into root-cause problems. Pricing is a rate card drawn down from an annual commitment: about $29 per host per month for infrastructure monitoring, $58 per 8 GiB host for full-stack APM, plus usage fees for logs, traces and user sessions.
Dynatrace suits large enterprises with hybrid or Kubernetes estates that want automatic discovery and fewer noisy alerts. It is heavy for a startup with a few services, and the consumption model needs careful forecasting. Datadog is easier to adopt piecemeal, New Relic offers a free tier with user-based pricing, and Grafana Cloud suits teams that prefer open-source Prometheus and OpenTelemetry tooling.
In early 2026 Dynatrace launched Dynatrace Intelligence, which it calls an agentic operations system: it combines its deterministic causal AI with agents that can investigate and act within guardrails for SRE, development and security teams. Before buying, run the 15-day trial on a production-like cluster to estimate host-hours and log volume.
PagerDuty
PagerDuty is an incident management and on-call platform founded in 2009 by Alex Solomon, Andrew Miklas and Baskar Puvanathasan, headquartered in San Francisco and listed on the NYSE since 2019. Its core job: take alerts from monitoring tools, wake up the right engineer through escalation policies and coordinate the response until the incident is resolved.
The product covers on-call schedules and escalation policies, alert routing and deduplication, push, SMS and phone notifications, Slack and Teams incident channels, status pages, post-incident reviews and analytics, plus 700+ integrations. Add-ons include AIOps for noise reduction, Runbook Automation, Status Pages and PagerDuty Advance generative AI. Pricing has two parts: Incident Management has a Free plan for 5 users and Professional at $25 per user a month, while the PD Reliability Platform is sold as annual platform fees (Starter, Essential, Plus, Ultimate) with bundles of seats, events and AI actions.
PagerDuty fits engineering and IT operations teams that run production systems around the clock and need dependable paging at scale. Add-ons get expensive. Better Stack bundles uptime monitoring, on-call and status pages for less, Datadog On-Call suits Datadog users, and Statuspage only covers public updates.
PagerDuty launched SRE, Scribe, Shift and Insights agents and a remote MCP server in October 2025; since the March 2026 release the SRE Agent can join escalation policies. A 14-day trial needs no credit card; check whether the per-user Professional plan or a platform tier is cheaper for your team size.