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Reviews onG2
15 reviews tracked

The Bottom Line

Entry price

Free, no paid tier

Biggest pro

Distributed tracing

Biggest con

Storage needs planning

TL;DR - Jaeger

  • Jaeger is an open-source distributed tracing system for monitoring microservices
  • It tracks request flows across services to troubleshoot latency and failures
  • Completely free and open-source
Pricing: Free forever
Best for: Individuals & startups
4.4/5 across review platforms

What is Jaeger?

Editorial review
Jaeger traces requests through distributed systems. Follow a request across microservices, find where latency hides, understand how systems actually behave-distributed tracing from Uber, now CNCF. The visualization shows request flow. The storage is pluggable. The integration with Kubernetes is native. Teams debugging microservices use Jaeger for distributed tracing that reveals system behavior.

Available on: Web

Pros & Cons

Pros

  • Distributed tracing
  • OpenTelemetry compatible
  • Good visualization
  • Free and open source
  • Kubernetes native

Cons

  • Storage needs planning
  • Setup complexity
  • UI basic
  • Resource intensive
  • Learning curve

Ratings Across the Web

4.4(15 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Distributed tracingOpenTelemetryService mapsCNCFSelf-hostedOpen source

Pricing Plans

Most Popular

Free

Free

Open source

  • Distributed tracing
  • Service dependency
  • Root cause analysis
  • Multi-backend

Reviews

4.4/5

Across 15 verified user reviews on G2

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Jaeger FAQ

Is Jaeger free?

Jaeger is completely free and open source, graduated from the CNCF. You can run it in production without licensing costs.

What is Jaeger?

Jaeger is a distributed tracing system originally developed by Uber. It helps you monitor and troubleshoot microservices by showing how requests flow through your system.

Jaeger vs Zipkin?

Both are open source distributed tracing systems with similar functionality. Jaeger is CNCF graduated with more features. Either works well for observability.

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