uptime-kuma vs Prometheus
Side-by-side comparison of features, pricing, ratings, and alternatives.
Uptime Kuma is a self-hosted uptime and status page that allows you to monitor your websites and applications. It provides a simple and easy-to-use interface to create and manage your status pages.
Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting. The project is written in Go and licensed under the Apache 2 license, with source code available on GitHub.
- Self-hosted solution for maximum control and security
- Customizable status pages with your own branding
- Real-time monitoring and alert system
- Support for multiple languages
- Highly scalable and performant
- Flexible query language and data model
- Real-time alerting and notification system
- Large ecosystem of integrations and community support
- Limited scalability
- Steep learning curve for customization
- Limited support for advanced features
- Steep learning curve due to complex query language and data model
- Requires significant resources and infrastructure to deploy and manage
- Limited support for historical data and long-term storage
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The Verdict
AI-generated from listing dataUptime‑Kuma offers simple, brandable status pages with real‑time alerts for small‑scale setups, while Prometheus provides a powerful, scalable metrics platform for complex, high‑volume environments.
Key differences
- •Uptime‑Kuma focuses on website/app uptime monitoring and status‑page branding; Prometheus is a general‑purpose time‑series metrics engine.
- •Prometheus includes a flexible query language (PromQL) and built‑in alert manager; Uptime‑Kuma relies on basic alerts and plugins.
- •Prometheus scales to high‑volume metric collection and integrates deeply with Kubernetes/Docker; Uptime‑Kuma has limited scalability and fewer infrastructure integrations.
- •Uptime‑Kuma offers multi‑language UI and easy status‑page customization; Prometheus requires more expertise to configure dashboards (often via Grafana).
- •Support channels differ: Uptime‑Kuma uses GitHub Issues and community forum; Prometheus relies on broader community docs and ecosystem.
Pricing & value
Both are free open‑source tools; value depends on required feature depth and scale.
Ease of use / learning curve
Uptime‑Kuma has a UI for status pages and basic alerts, whereas Prometheus requires learning PromQL and complex setup.
Features & depth
Prometheus offers a multi‑dimensional data model, flexible queries, and built‑in alert manager; Uptime‑Kuma is limited to uptime checks.
Integrations & ecosystem
Prometheus integrates with Kubernetes, Docker, Grafana and many exporters; Uptime‑Kuma integrates mainly with Discord, Telegram, GitHub.
Scalability
Prometheus is designed for high‑performance, large‑scale metric collection; Uptime‑Kuma notes limited scalability.
Support
Prometheus benefits from a large community, extensive docs, and ecosystem; Uptime‑Kuma relies on GitHub Issues and a smaller forum.
Security & privacy
Both are self‑hosted, but Uptime‑Kuma emphasizes maximum control and security for status‑page branding.
Choose uptime-kuma if…
Small teams needing quick, branded uptime pages and simple alerts.
Choose Prometheus if…
DevOps/SRE teams requiring scalable metrics, complex queries, and deep infrastructure integrations.
Common questions
Is there any cost to use either tool?
Both are free open‑source products; no licensing fees.
Can I monitor Kubernetes clusters with Uptime‑Kuma?
Not specified; Uptime‑Kuma’s key integrations are Discord, Telegram, GitHub, not Kubernetes.
Which tool handles high‑volume metric collection better?
Prometheus, because it is built for high performance, scalable time‑series data and supports large ecosystems.