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It's a split decision.
Datadog is the broader platform: it covers infrastructure, applications, logs, security, digital experience and software delivery. PagerDuty is centered on incident response, on-call coordination, signal intelligence and automation. Pick Datadog when your team wants to work across telemetry and security in one product. Pick PagerDuty when the main requirement is coordinating incident response across people and systems. Compare the pricing units carefully: Datadog’s listed AI Credits are usage-based, while PagerDuty combines a free tier, per-user pricing and annual platform fees.
01Side by side
| Datadog | PagerDuty | |
|---|---|---|
| Core fit | Observability, security and software delivery | Incident response and reliability operations |
| Pricing model | AI Credits subscription or on-demand credits | Free, per-user or annual platform plans |
| Free tier | No free plan listed | Five users; one schedule and escalation policy |
| Integration breadth | Named AWS, Azure, Google Cloud, Kubernetes | 750+ integrations |
| Extension interfaces | OpenTelemetry integration listed | APIs and MCP connections |
| Platform | Web | Web |
| Deployment | Web platform | Web platform |
| Included usage and seats | 500 AI Credits per month on annual plan | Events, AI Actions and seats vary by plan |
Datadog Choose Datadog if
- Choose Datadog if you need infrastructure and application monitoring together.
- Choose Datadog if logs, security and digital experience belong in the same platform.
- Choose Datadog if OpenTelemetry and major cloud integrations fit your stack.
PagerDuty Choose PagerDuty if
- Choose PagerDuty if on-call schedules and escalation policies are the priority.
- Choose PagerDuty if you need incident workflows and response automation.
- Choose PagerDuty if its included event, action and seat allowances fit your team.
02Pricing at real usage
PagerDuty has a free plan for five users, one on-call schedule, one escalation policy and 100 SMS or phone notifications monthly. Professional costs $25 per user monthly, or $21 per user monthly billed annually. Its platform plans start with Starter at a $2,800 annual fee, including 5,000 Signal Intelligence Events and 1,000 AI Actions; Essential is $12,000 annually, and Plus is $48,000. Ultimate has custom pricing.
Datadog’s listed AI Credits plan is $500 per 500 credits monthly when billed annually; on-demand credits cost $1.30 each. That plan includes Bits Chat, Bits Investigation and Bits Code. These figures cover AI Credits, not the cost of a full monitoring deployment. Compare the PagerDuty plan’s event, action and seat allowances with your expected usage, and confirm Datadog pricing for the telemetry and products you plan to use.
03API, SDKs and integration
Datadog lists integrations with AWS, Azure, Google Cloud, Kubernetes, OpenTelemetry, OpenAI and SAP. Its product spans infrastructure, applications, data, logs, security, digital experience and software delivery, so integration planning should account for the products and telemetry your team intends to use.
PagerDuty lists 750+ integrations and says teams can extend connections through APIs and MCP. Its integration model supports incident response and coordination across connected systems, alongside incident management, signal intelligence and automation. The vendor pages do not name SDK languages or CLI commands, so confirm the supported client libraries, API authentication and rate limits before building a production integration. Check which events and actions count against the PagerDuty plan you select; included allowances differ by plan. Neither vendor’s named integrations alone establish that a specific internal tool or workflow is supported.
04Open source, self-hosting and lock-in
Neither product is described as open source or self-hostable in the vendor details here. The vendors do not publish licence terms, self-hosting options or data-export terms in those details, so confirm them directly before making a deployment or retention decision.
The products create different migration concerns. Datadog combines monitoring, logs, security and delivery capabilities, so moving away may involve replacing several functions and reviewing how telemetry, dashboards and alerts are configured. PagerDuty centers on schedules, escalation policies, integrations and incident workflows; a move would require mapping those response processes to another service. Ask both vendors what data can be exported, in which formats, and whether historical events, configuration and workflow definitions are included. Also confirm retention periods and any export charges before committing.
Questions people ask
What are some alternatives to Datadog?
The right alternative depends on which part of Datadog you need to replace. For incident response and on-call coordination, PagerDuty is a different kind of tool, focused on incident management, signal intelligence and automation rather than Datadog’s broader observability and security scope.
What is PagerDuty used for?
PagerDuty is an operations platform for detecting, investigating and resolving incidents. Its features include on-call response, escalation, incident management, signal intelligence, automation and incident learning. The platform also lists APIs, MCP connections and more than 750 integrations.
Does Datadog do network monitoring?
Yes. Datadog lists Network Monitoring among its infrastructure capabilities. Its platform also includes container, Kubernetes and serverless monitoring, alongside application performance monitoring, log management and other observability products.
Why choose Datadog?
Choose Datadog when your team wants one platform covering infrastructure, applications, logs, security, digital experience and software delivery. Its listed integrations include major cloud providers, Kubernetes and OpenTelemetry. Compare the pricing for the specific Datadog products and telemetry your deployment needs.