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Datadog Synthetic Monitoring review

#4 of 42 in Synthetic Monitoring

Broad synthetic coverage with deep Datadog observability and usage-based pricing.

8.9/10Editor score
Datadog Synthetic Monitoring8.9 Visit Datadog

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Datadog Synthetic Monitoring simulates API requests, browser interactions, mobile-app flows, and network checks to monitor availability and performance. It is designed for development, operations, and engineering teams that need proactive detection of user-facing issues. Teams can run checks from Datadog-managed or private locations, organize tests by journey, environment, or team, and monitor schedules as fast as one minute.

Pricing is usage-based rather than organized around conventional feature tiers. API Testing costs $5 per 10K test runs per month with annual billing or $7.2 with monthly billing, covering single and multistep API tests, globally managed locations, and uptime and SLO monitoring. Browser Testing costs $12 per 1,000 runs annually or $18 monthly, with codeless recording, self-healing tests, screenshots, and error reporting. Mobile App Testing costs $50 per 100 runs annually or $72 monthly, while Network Path Testing costs $5 per 1,000 tests annually or $7.2 monthly. A 14-day free trial is available.

The standout strength is breadth across synthetic types and observability workflows. API checks support HTTP, SSL, DNS, WebSocket, TCP, UDP, ICMP, and gRPC, while browser tests cover recorded user flows and assertions. Mobile tests run on real Android and iOS devices, and network tests provide hop-by-hop visibility with packet-loss and latency alerts. GitHub, GitLab, Jenkins, CircleCI, Azure DevOps, Slack, Jira, Datadog APM, and Datadog RUM integrations support delivery and incident workflows. Terraform and API management add automation options. Datadog is a strong fit for teams wanting synthetic coverage connected to a wider observability environment; teams seeking a free plan or simpler fixed-tier pricing should look elsewhere.

Datadog Synthetic Monitoring pros and cons

  • Where it wins
    • Covers API, browser, mobile, and network testing
    • Connects failed synthetic tests with APM traces
    • Supports private locations, Terraform, and CI/CD integrations
  • Where it doesn't
    • No free plan is available
    • Usage-based pricing spans different test-run units
    • Monthly pricing costs more than annual pricing

Datadog Synthetic Monitoring fact sheet, pricing and score →

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