Checkly vs Datadog Synthetic Monitoring
On the evidence we track, Checkly leads this comparison with a composite score of 64/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for api monitoring. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Checkly
LeaderA code-first monitoring platform that runs continuous uptime checks, API tests, and browser-based workflows from multiple global locations to detect outages and performance issues. Sends alerts through various channels and supports custom monitoring logic via TypeScript.
Datadog Synthetic Monitoring
A cloud-based testing platform that lets engineering teams create code-free tests simulating user interactions and API calls across endpoints, enabling rapid issue detection and performance optimization.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Checkly
LeaderFrom $24/month billed annually. Free tier includes 10 monitors and 1k browser/10k API checks.
- HobbyFree
- Uptime monitoring (HTTPS, TCP, DNS, ICMP, Heartbeat)
- 10 uptime monitors
- 1,000 browser/Playwright checks per month
- 10,000 API checks per month
- 6 global monitoring locations
- +2 more
- Starter$24/month billed annually
- 50 uptime monitors
- 1-minute check frequency
- 3,000 browser checks per month
- 25,000 API checks per month
- Automatic retry before alerting
- +3 more
- Team$64/month billed annually
- 75 uptime monitors
- 30-second check frequency
- 12,000 browser checks per month
- 100,000 API checks per month
- 22 global locations
- +7 more
- EnterpriseContact sales
- Custom monitor and check volumes
- 1-second check frequency
- 22 global locations with parallel and round-robin scheduling
- Private locations
- All alerting channels
- +1 more
Datadog Synthetic Monitoring
14-day free trial available (pricing details not disclosed in provided materials)
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Slack
- GitHub
- Jenkins
Checkly
Leader- PagerDuty
- Incident.io
- Rootly
- OpsGenie
- GitHub Actions
- GitLab CI
- Vercel
- Terraform
- Pulumi
- Webhook
- Telegram
- Airflow
- Kubernetes
- MCP
Datadog Synthetic Monitoring
- GitLab
- CircleCI
- Azure DevOps
- Jira
- Google Vertex AI
- Google Cloud SQL
- Google Cloud Run
- Google Cloud
- Real User Monitoring
- Error Tracking
- Session Replay
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.