Opsgenie vs Datadog: Incident Management Compared (2026)

A practical comparison of Opsgenie and Datadog for on-call alerting and incident response, including pricing, features, and migration steps.

Updated 2026-10 · 2026

Opsgenie

Alerting and on-call management for dev and ops teams

Free for up to 5 users, then $9/user/mo (Standard), $29/user/mo (Enterprise)user/month

Strengths

+Dedicated on-call scheduling and escalation policies
+Deep integration with Jira Service Management and Atlassian stack
+Flexible alert routing rules and heartbeat monitoring

Weaknesses

-No built-in metrics, logs, or APM — needs a separate monitoring tool
-Atlassian has signaled long-term consolidation into Jira Service Management, creating roadmap uncertainty
-UI feels dated compared to newer incident tools

Best for

Teams that already use Jira/Confluence and just need reliable on-call alerting without buying a full observability platform.

Datadog

Full-stack observability platform with built-in incident management

Free tier (limited), Pro from $15/host/mo, Enterprise from $23/host/mo (billed annually)host/month

Strengths

+Combines metrics, logs, APM, and infrastructure monitoring in one place
+Incident Management and On-Call features live next to the data that triggers alerts
+Hundreds of native integrations (cloud providers, Kubernetes, CI/CD, etc.)

Weaknesses

-Pricing is usage-based and can escalate quickly with hosts, logs, and custom metrics
-On-call/incident features are newer and less mature than Opsgenie's dedicated tooling
-Steeper learning curve and more setup overhead

Best for

Teams that want monitoring, logs, APM, and alerting unified in a single platform and are willing to manage usage-based billing.

Feature Comparison

Feature	Opsgenie	Datadog
On-call scheduling	Yes, dedicated rotations & overrides	Yes, via Datadog On-Call
Escalation policies	Mature, granular rules	Available, newer feature set
Metrics & dashboards	No (integrates with other tools)	Yes, native and extensive
Logs management	No	Yes, built-in
APM / tracing	No	Yes, built-in
Mobile push/SMS/voice alerts	Yes, well established	Yes, via On-Call
Status pages	Via Atlassian Statuspage integration	Yes, included
Free tier	Up to 5 users, core features	Limited hosts, 1-day log retention
Integrations	200+ (strong Atlassian ecosystem)	700+ (cloud, infra, CI/CD)
Pricing model	Per user/month	Per host/month + usage (logs, custom metrics)
Best for	Alerting-only teams	Full observability + alerting teams

The Verdict

If you just need reliable on-call alerting and already live in Jira, Opsgenie is cheaper and simpler. If you want monitoring, logs, and alerting in one bill — and don't mind usage-based pricing — Datadog replaces Opsgenie plus a separate monitoring stack, but costs can grow fast as you add hosts and log volume.

How to switch from Opsgenie to Datadog

1Export your Opsgenie schedules, escalation policies, and users using the Opsgenie REST API (or the team settings export option), saving results as JSON/CSV for reference.
2Set up Datadog On-Call: create teams, import users, and recreate on-call schedules and escalation policies manually based on your exported Opsgenie config.
3Reconnect integrations (Slack, Jira, cloud providers, CI/CD) inside Datadog, since Opsgenie's integration settings don't carry over automatically.
4Recreate alert routing and monitors in Datadog using your existing metrics/logs sources, mapping Opsgenie's alert rules to Datadog monitor conditions.
5Run both systems in parallel for 1-2 on-call rotations to confirm alerts fire correctly in Datadog before fully decommissioning Opsgenie.
6Cut over the team by updating runbooks, status page integrations, and notification preferences, then cancel your Opsgenie subscription once Datadog is confirmed stable.

Opsgenie vs Datadog: common questions

How do I export my data from Opsgenie before switching to Datadog?+

Opsgenie lets you export schedules, escalation policies, and alert logs via its REST API or the 'Export' option in team settings, which outputs JSON/CSV. There's no one-click full-account export, so most teams script a pull of users, schedules, and integrations via the API before recreating them in Datadog.

What do I lose moving from Opsgenie to Datadog?+

You lose Opsgenie's deep Jira Service Management integration and its more mature, dedicated on-call UI — Datadog's On-Call module is newer and has fewer advanced escalation options. You'll also need to rebuild heartbeat checks and custom alert routing rules manually since there's no automated migration tool.

Is Datadog's free tier enough for a small team doing on-call alerting?+

No — Datadog's free tier is limited to a small number of hosts and 1-day log retention, which isn't enough for production incident management. Most teams need at least the Pro plan ($15/host/month) plus On-Call, so budget for paid usage from day one.

Does Datadog integrate with the same tools Opsgenie does (Slack, PagerDuty, Jira)?+

Yes, Datadog has native integrations for Slack, Jira, Microsoft Teams, and most major incident channels, and it also integrates with PagerDuty if you want to keep paging separate. You'll need to reconnect and reconfigure each integration manually since Opsgenie settings don't transfer automatically.

Will switching from Opsgenie to Datadog cost more over time?+

It depends on your infrastructure size — Opsgenie's per-user pricing is predictable, while Datadog bills per host plus log and metric volume, which scales with your environment. Teams with growing infrastructure often end up paying more on Datadog, but they're also replacing a separate monitoring tool, so compare total stack cost, not just the alerting line item.