Dynatrace vs Checkly
A detailed comparison to help you choose between Dynatrace and Checkly.
Quick Verdict
4.5/5
Dynatrace
253 reviews
5.0/5
Checkly
100 reviews
Checkly is rated higher (5.0 vs 4.5). Dynatrace uses Davis AI to automatically detect problems, root causes, and dependencies across your full technology stack. Full-stack observability with minimal manual configuration. Checkly enables monitoring as code using Playwright for E2E browser checks and HTTP API checks. Define checks alongside your code in TypeScript. Global check locations.
Dynatrace AI-powered observability and AIOps platform | Checkly Monitoring as code with Playwright and API checks | |
|---|---|---|
| Overview | ||
| Rating | 4.5 (253 reviews) | 5.0 (100 reviews)✓ |
| Pricing model | paid | freemium |
| Starting price | From €74/mo | Free tier available✓ |
| Best for | Large enterprise teams wanting AI-powered automatic problem detection across their entire technology stack | Engineering teams who want to define synthetic monitoring tests as code in their repository |
| Tags | ||
| Tags | api accessteam featuressso | free tieropen sourceapi access |
| Visit Dynatrace → | Visit Checkly → | |
Dynatrace
Pros
- + Davis AI auto-detects problems without alert configuration
- + Full-stack automatic discovery
- + OneAgent deploys in minutes
Cons
- - Very expensive
- - Full-stack AIOps may be overkill for smaller teams
Checkly
Pros
- + Monitoring as code in TypeScript
- + Playwright for browser monitoring
- + Works in CI/CD pipeline
Cons
- - Developer-focused — not for non-technical teams
- - Newer than Datadog synthetics
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