Softwr

Cloud · head to head

Jaeger vs OpenTelemetry

Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite
OpenTelemetry logo

OpenTelemetry

Cloud

Vendor-neutral standard for traces, metrics and logs

From
Free
Rated
-
Full reviewWebsite

The short version

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

Where they differ

Only the attributes on which Jaeger and OpenTelemetry actually diverge.

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

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

Only in OpenTelemetry

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

What people use each for

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

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

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

Where each one falls short

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

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

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

Pricing, plan by plan

Jaeger

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

OpenTelemetry

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

Which should you pick?

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

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

Questions people ask

Is Jaeger or OpenTelemetry better?
Neither clearly leads. Jaeger starts at Free and OpenTelemetry at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jaeger or OpenTelemetry?
Jaeger starts at Free and OpenTelemetry at Free.
Does Jaeger or OpenTelemetry run on more platforms?
Jaeger runs on Linux, Kubernetes, Docker. OpenTelemetry runs on Linux, macOS, Windows, Kubernetes, Docker.
Can I use Jaeger for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jaeger best used for?
Jaeger is most often used for finding which service in a request path causes the latency, understanding real service dependencies rather than the diagram on the wiki, debugging failures that only appear under production traffic patterns. Of those, finding which service in a request path causes the latency and understanding real service dependencies rather than the diagram on the wiki are not what OpenTelemetry is typically brought in for.
What can Jaeger do that OpenTelemetry cannot?
Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. OpenTelemetry covers Vendor-neutral SDKs, Collector, Three signals, Auto-instrumentation.

Answered from the vendors’ own pages

Jaeger: Is Jaeger free?

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

OpenTelemetry: Is OpenTelemetry free?

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

Jaeger: Do I use Jaeger or OpenTelemetry?

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

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: Does Jaeger handle metrics and logs?

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

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.

Share

Related pages

More on Jaeger

More on OpenTelemetry

Keep looking

Other head to heads