Start with how each one bills, because it predicts almost everything else. Grafana is open source and free to self-host, with Grafana Cloud priced on usage from zero upward, and you assemble the stack yourself against whatever data sources you already run. Dynatrace bills from $0.08 per hour per host, with digital experience monitoring from $11 per thousand sessions, and in exchange a single agent covers the full stack and maps dependencies automatically. Grafana asks you to decide what to collect and how to display it. Dynatrace decides most of that for you, then Davis AI proposes a root cause on top. That trade of control for automation is the entire comparison.
Pick Dynatrace if you have enterprise scale, compliance requirements and an incident load that justifies paying for automated root cause analysis rather than staffing it. Pick Grafana if you have engineers who enjoy owning the stack, existing data sources worth keeping, or a budget that will not survive per-host pricing. The caveats cut both ways. Dynatrace is heavy for small teams and the initial setup is steep, so a two-person platform team feels the weight well before the benefit. Grafana costs nothing to license and plenty to maintain, has a steeper learning curve than SaaS tools, and several of its stronger capabilities arrive as Grafana Cloud add-ons rather than in the self-hosted build.
Open-source observability and data visualization
Pricing: Open source free, Cloud from $0 (scalable usage-based)
Founded: 2014
Best for: Engineers, SREs, Data Teams
AI-powered full-stack observability and APM platform
Pricing: Full-stack from $0.08/hr per host, DEM from $11/1k sessions
Founded: 2005
Best for: Enterprise SRE, Platform Teams, DevOps Teams
2 of 18 capabilities separate these two. Those come first.
| Feature | Grafana | Dynatrace |
|---|---|---|
| Where they differ (2) | ||
| Open Source | Grafana: yes | Dynatrace: no |
| Free Tier | Grafana: yes | Dynatrace: no |
| Both tools have (14) | ||
| Synthetic Monitoring | Grafana: yes | Dynatrace: yes |
| Real User Monitoring | Grafana: yes | Dynatrace: yes |
| API & Browser Testing | Grafana: yes | Dynatrace: yes |
| AI-Powered | Grafana: yes | Dynatrace: yes |
| Uptime Monitoring | Grafana: yes | Dynatrace: yes |
| Alerting | Grafana: yes | Dynatrace: yes |
| Slack Integration | Grafana: yes | Dynatrace: yes |
| CI/CD Integration | Grafana: yes | Dynatrace: yes |
| Multi-Location Checks | Grafana: yes | Dynatrace: yes |
| SSL Monitoring | Grafana: yes | Dynatrace: yes |
| On-Premise / Self-Host | Grafana: yes | Dynatrace: yes |
| API Access | Grafana: yes | Dynatrace: yes |
| Dashboards | Grafana: yes | Dynatrace: yes |
| Incident Management | Grafana: yes | Dynatrace: yes |
| Neither tool has (2) | ||
| Self-Healing Tests | Grafana: no | Dynatrace: no |
| Status Page | Grafana: no | Dynatrace: no |
Pros
Cons
Pros
Cons
Grafana is open-source observability and data visualization, while Dynatrace is ai-powered full-stack observability and apm platform. Grafana adds Open Source and Free Tier on top of the shared feature set.
Grafana pricing: Open source free, Cloud from $0 (scalable usage-based). Dynatrace pricing: Full-stack from $0.08/hr per host, DEM from $11/1k sessions. Evaluate against your check volume and team size; entry pricing rarely reflects total cost at scale.
Grafana is designed with Engineers, SREs, and Data Teams in mind, whereas Dynatrace targets Enterprise SRE, Platform Teams, and DevOps Teams. If your team matches the former profile, Grafana is usually the closer fit.
ObserveOne combines synthetic monitoring with AI browser checks that adapt as your UI changes. It offers a free tier, so you can benchmark it against Grafana and Dynatrace directly.
ObserveOne combines AI browser checks with uptime, API, and SSL monitoring on per-run pricing. The free tier is enough to benchmark it against Grafana and Dynatrace directly.
Each tool has its own alternatives page too, not just this matchup.