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Cloud · head to head

OpenTelemetry vs Jaeger

OpenTelemetry logo

OpenTelemetry

Cloud

Vendor-neutral standard for traces, metrics and logs

From
Free
Rated
-
Full reviewWebsite
Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: OpenTelemetry genuinely complex to adopt: collectors, pipelines, samplers and exporters are a system to run in their own right; Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
  • They diverge on capability: OpenTelemetry covers Vendor-neutral SDKs, Jaeger covers Distributed trace search.

Where they differ

Only the attributes on which OpenTelemetry and Jaeger actually diverge.

Attributes where OpenTelemetry and Jaeger differ
AttributeOpenTelemetryJaeger
PlatformsLinux, macOS, Windows, Kubernetes, DockerLinux, Kubernetes, Docker

Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated), category (Cloud).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in OpenTelemetry

  • Vendor-neutral SDKs
  • Collector
  • Three signals
  • Auto-instrumentation

Only in Jaeger

  • Distributed trace search
  • Dependency graph
  • Adaptive sampling
  • Pluggable storage

What people use each for

The jobs each tool is most often brought in to do.

OpenTelemetry

  • Instrumenting once and keeping the option to change observability vendor laternot Jaeger
  • Standardising telemetry across services written in different languagesnot Jaeger
  • Routing and filtering telemetry centrally to control observability spendnot Jaeger

Jaeger

  • Finding which service in a request path causes the latencynot OpenTelemetry
  • Understanding real service dependencies rather than the diagram on the wikinot OpenTelemetry
  • Debugging failures that only appear under production traffic patternsnot OpenTelemetry

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

OpenTelemetry

  • Genuinely complex to adopt: collectors, pipelines, samplers and exporters are a system to run in their own right
  • Language SDKs mature at different rates, so a polyglot estate gets uneven support
  • It produces and moves telemetry but does not store or visualise it, so a backend is still required and still billed

Jaeger

  • Tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
  • Storage is the real operational cost: high-volume tracing on Elasticsearch or Cassandra is a cluster to run and pay for
  • Traces alone, without correlated metrics and logs, leave you switching between tools during an incident

Pricing, plan by plan

OpenTelemetry

Free
  • OpenTelemetryFree
    • Full functionality
    • No usage limits
    • Community support

Jaeger

Free
  • JaegerFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose OpenTelemetry if

  • You need vendor-neutral sdks.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Kubernetes, Docker.
  • You also want collector.
OpenTelemetry review

Choose Jaeger if

  • You need distributed trace search.
  • You want to start without paying.
  • You work on Linux, Kubernetes, Docker.
  • You also want dependency graph.
Jaeger review

Questions people ask

Is OpenTelemetry or Jaeger better?
Neither clearly leads. OpenTelemetry starts at Free and Jaeger at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, OpenTelemetry or Jaeger?
OpenTelemetry starts at Free and Jaeger at Free.
Does OpenTelemetry or Jaeger run on more platforms?
OpenTelemetry runs on Linux, macOS, Windows, Kubernetes, Docker. Jaeger runs on Linux, Kubernetes, Docker.
Can I use OpenTelemetry for free?
Both have a free tier, so you can try either at no cost before committing.
What is OpenTelemetry best used for?
OpenTelemetry is most often used for instrumenting once and keeping the option to change observability vendor later, standardising telemetry across services written in different languages, routing and filtering telemetry centrally to control observability spend. Of those, instrumenting once and keeping the option to change observability vendor later and standardising telemetry across services written in different languages are not what Jaeger is typically brought in for.
What can OpenTelemetry do that Jaeger cannot?
OpenTelemetry covers Vendor-neutral SDKs, Collector, Three signals, Auto-instrumentation. Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage.

Answered from the vendors’ own pages

OpenTelemetry: Is OpenTelemetry free?

Yes, open source under the CNCF. What you pay for is the backend you export to.

Jaeger: Is Jaeger free?

Yes, open source and CNCF-graduated. Costs are the storage backend you run.

OpenTelemetry: Does OpenTelemetry replace Datadog or Grafana?

No. It replaces their proprietary agents and instrumentation libraries. You still need a backend to store and query the data.

Jaeger: Do I use Jaeger or OpenTelemetry?

Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.

OpenTelemetry: Why adopt a vendor-neutral standard?

Because instrumentation is the expensive part. Once code emits OTel, changing observability vendor is a collector config change instead of re-instrumenting every service.

Jaeger: Does Jaeger handle metrics and logs?

No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.

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