Uptime Kuma vs VictoriaMetrics
| Tagline | Fancy self-hosted uptime monitoring with a beautiful dashboard and status pages | Fast, cost-efficient time-series database and monitoring drop-in for Prometheus |
| Category | Monitoring & Status Pages | Monitoring & Status Pages |
| Replaces | UptimeRobot, Pingdom, Statuspage | Datadog |
| GitHub stars | 91k | 18k |
| Language | JavaScript | Go |
| License | MIT | Apache-2.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | Docker Docker Compose Manual | Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | yesterday | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Uptime Kuma
- Single-node by design; no built-in multi-region / global probe network like Pingdom or UptimeRobot Pro
- Status pages are simpler than Statuspage.io (limited custom domains UX, no subscriber-tier management, fewer branding controls)
- No SLA reporting/analytics depth or team RBAC found in commercial offerings
- Scaling to thousands of monitors can strain the single SQLite/MariaDB backend
VictoriaMetrics
- Primarily a metrics backend; needs Grafana for dashboards and vmalert for alerting
- No logs/traces/APM in the core product (separate VictoriaLogs project for logs)
- No public status page or synthetic uptime checks
- Assembling a full observability suite requires multiple components
Bottom line
Choose Uptime Kuma if you want the lower-effort setup; choose Uptime Kuma for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.
Uptime Kuma
Fancy self-hosted uptime monitoring with a beautiful dashboard and status pages
VictoriaMetrics
Fast, cost-efficient time-series database and monitoring drop-in for Prometheus