Datadog vs PagerDuty

Datadog and PagerDuty approach observability from different angles, making a direct cost comparison tricky. Datadog charges a base fee between $22.00 and $35.00/mo per host, which grants you a single monitored target but includes unlimited team seats. PagerDuty keeps its base pricing for event intelligence and monitoring tools ranging from $0.00 up to $48.00/mo. PagerDuty leans into an unlimited model for monitored targets and log volume, whereas Datadog operates on a more rigid per-host licensing structure common among incumbents like New Relic or Dynatrace.

• Datadog imposes an overage fee of $0.10/GB for log storage beyond your provisioned tier, a cost that scales quickly when debugging high-throughput distributed systems.
• PagerDuty avoids specific per-GB storage penalties for logs, shifting the focus toward seat-based or event-based licensing rather than raw data ingestion volume.
• Neither provider offers native RAM limits for their dashboarding tools, as both rely on cloud-hosted SaaS interfaces rather than local compute resources.
• Datadog’s pricing is heavily tied to host count, which can become expensive when running large-scale container clusters on AMD EPYC or ARM-based instances.

Choosing between these two depends on whether your organization prioritizes granular metric collection or incident response orchestration. Datadog provides a deeper view into infrastructure health and APM, but the bill becomes difficult to forecast as your host count grows. PagerDuty functions as a wrapper for your existing alerts, providing unlimited ingestion capacity but lacking the detailed trace analysis you get from a dedicated APM provider. If you need to monitor thousands of ephemeral microservices, you will likely end up paying for both to maintain visibility without drowning in alert fatigue. Datadog handles the technical telemetry, while PagerDuty manages the human response cycle, and the two platforms serve distinct functional requirements in a standard production stack.