Uptime Kuma vs Jaeger

Compare Uptime Kuma and Jaeger on pricing, features, platforms, and ratings — both DevOps tools, open-source vs Open Source pricing to decide which fits your…

At a Glance

 Uptime KumaJaeger
Primary categoryDevOpsDevOps
RatingNot documentedNot documented
Pricing modelopen-sourceOpen Source
Starting priceFreeFree
Free planYesNot documented
Free trialNot documentedNot documented
PlatformsWeb, WindowsWeb
Team collaborationNot documentedNot documented
AI featuresNot documentedNot documented
Public APINot documentedYes

Pricing Compared

Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.

Uptime Kuma

Open Source — Free n/a

Jaeger

Self-Hosted (Open Source) — Free N/A

Pros & Cons

Uptime Kuma

Pros

  • Completely free and open source with the MIT License and no feature restrictions
  • Supports a very wide range of monitor types compared to many commercial competitors
  • Large, active GitHub community with frequent updates and over 88,000 stars
  • Modern, fast, reactive dashboard with light and dark mode
  • Extensive notification integrations covering more than 90 services

Cons

  • Requires self-hosting and ongoing server maintenance, unlike managed SaaS monitoring tools
  • No official managed cloud version from the core maintainer, so uptime of the monitor itself depends on the user's own infrastructure
  • Advanced enterprise features like SLA reporting and team role management are more limited than commercial alternatives
  • Community support model rather than dedicated paid support channels

Jaeger

Pros

  • Completely free and open source with no usage-based billing
  • Graduated CNCF project with strong governance and long-term stability
  • Deep OpenTelemetry alignment future-proofs instrumentation investments
  • Flexible storage backend choices to match existing infrastructure
  • Large community and wide adoption across cloud native companies

Cons

  • Requires self-hosting and ongoing operational maintenance
  • No built-in alerting or anomaly detection out of the box
  • Storage backend tuning (Cassandra/Elasticsearch) can be operationally complex at scale
  • UI is functional but less polished than commercial APM dashboards
  • No official managed cloud offering directly from the project

Use Cases

Uptime Kuma

  • Self-hosted website monitoring — Individuals and small teams monitor their websites and APIs for downtime without paying for a SaaS monitoring subscription.
  • Home lab and NAS monitoring — Home lab enthusiasts run Uptime Kuma alongside other self-hosted services to track their availability on a home server or NAS.
  • Public status pages for services — Teams publish a status page built on Uptime Kuma to communicate uptime and incidents to their users transparently.

Jaeger

  • Microservices latency debugging — Engineers trace a slow request end-to-end to identify which specific service or downstream call is responsible for added latency.
  • Service dependency mapping — Teams use Jaeger's dependency graphs to understand and document how dozens of microservices interact before major refactors or migrations.
  • Root cause analysis during incidents — During an outage, on-call engineers use trace data to quickly narrow down which service introduced errors or timeouts.

Read the full Uptime Kuma review · Read the full Jaeger review