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Datadog

Datadog

Full-stack observability platform powered by Watchdog anomaly detection and Bits AI autonomous SRE. Continuously baselines metrics across hosts, containers, and traces to eliminate static thresholds and surface root causes. Bits AI handles incident investigation autonomously — correlating signals, querying logs, and proposing remediations without requiring manual runbook execution.

Last reviewedMay 15, 2026
How we review

Overview

Datadog is a SaaS observability platform. A single lightweight agent installed on hosts, containers, and Kubernetes nodes collects metrics, distributed traces, structured logs, RUM, synthetics, profiling, and security signals. All signals share a unified tag model: a tag applied once to a host propagates to every signal that host emits, enabling cross-signal correlation without custom glue code.

Watchdog applies statistical anomaly detection continuously across metrics and APM data, surfacing patterns that deviate from baseline without requiring engineers to configure thresholds per metric. Bits AI, the incident triage layer introduced in 2025–2026, reads the full telemetry graph to identify probable root cause and draft incident timelines.

The security suite (Cloud SIEM, CSPM, workload security) runs on the same agent and tagging infrastructure as observability, enabling correlation between a security finding and surrounding infrastructure and application context. Pricing is per host for infrastructure, per ingested/indexed log volume, and per custom metric; cost governance requires active management at scale.

Key Features

  • Unified agent collects metrics, traces, logs, RUM, synthetics, and profiling under a single tag model — a tag applied once to a host propagates to every signal that host emits across all product surfaces
  • Watchdog ML anomaly detection: automatically surfaces statistically abnormal patterns in metrics and APM data without requiring engineers to write alert thresholds for every signal
  • Bits AI autonomous incident triage: reads the full telemetry graph to identify probable root cause, correlate deployment events, and draft incident timelines — runs on first-party data rather than ingesting signals secondhand
  • Distributed tracing with APM: end-to-end request traces across microservices with flame graphs, service maps, and automatic correlation to log lines and infrastructure metrics within the same time window
  • Custom metrics and indexed log governance: per-host and per-custom-metric pricing requires volume controls; Live Tail for log streaming and rehydration for cold log analysis avoid full indexing costs on verbose services
  • Security suite: Cloud SIEM, CSPM, and workload security run on the same agent and tagging model as observability — correlate a security signal with the infrastructure and APM context around it in a single view

Integrations

12 total
scm
GitLabGitHub
monitoring
SplunkOpenTelemetryPrometheus
messaging
Slack
cloud
GCPAWSAzure
orchestration
Kubernetes
ci / cd
Terraform
incident
PagerDuty

Pricing

3 tiers
Free
Free

Free tier: 5 hosts, 1-day metric retention, core infrastructure monitoring

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Enterprise
$23/seat/mo

Per host per month

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Pro
$15/seat/mo

Per host per month

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Compare with similar tools

3 comparisons

Compliance

4 / 6 attested
SOC 2
HIPAA
GDPR
FedRAMP
PCI DSS
ISO 27001

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