Zabbix vs Dynatrace
A detailed comparison to help you choose between Zabbix and Dynatrace.
Quick Verdict
3.8/5
Zabbix
395 reviews
4.5/5
Dynatrace
253 reviews
Dynatrace is rated higher (4.5 vs 3.8). Zabbix is a free, open source enterprise monitoring solution for networks, servers, cloud, and applications. 2,000+ out-of-box templates. Used by millions of enterprises globally since 2001. Dynatrace uses Davis AI to automatically detect problems, root causes, and dependencies across your full technology stack. Full-stack observability with minimal manual configuration.
Zabbix Enterprise-grade infrastructure monitoring with predictive alerting | Dynatrace AI-powered observability and AIOps platform | |
|---|---|---|
| Overview | ||
| Rating | 3.8 (395 reviews) | 4.5 (253 reviews)✓ |
| Pricing model | free | paid |
| Starting price | Free✓ | From €74/mo |
| Best for | Operations teams managing hybrid cloud or on-premises infrastructure who need comprehensive, customizable monitoring without per-host licensing. | Large enterprise teams wanting AI-powered automatic problem detection across their entire technology stack |
| Tags | ||
| Tags | free tieropen sourceself hostable | api accessteam featuressso |
| Visit Zabbix → | Visit Dynatrace → | |
Zabbix
Pros
- + Monitor unlimited hosts and metrics without per-seat licensing costs
- + Combine agent and agentless monitoring across heterogeneous environments
- + Create custom alerts with threshold logic and event correlation rules
- + Visualize infrastructure health with flexible dashboard and map views
- + Integrate with external systems via webhooks and API
Cons
- - Steep learning curve for complex configurations and custom item setup
- - Requires dedicated infrastructure and database tuning for large-scale deployments
- - Community support only in open-source version; enterprise edition needed for guaranteed SLA
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
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