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Cloud · head to head

Jaeger vs LangGraph

Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite
LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

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; LangGraph steeper learning curve compared to high-level abstractions
  • They diverge on capability: Jaeger covers Distributed trace search, LangGraph covers Human-in-the-loop controls.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Jaeger and LangGraph actually diverge.

Attributes where Jaeger and LangGraph differ
AttributeJaegerLangGraph
Pricing modelOpen source, no licence feeOpen source and free, with optional managed platform
PlatformsLinux, Kubernetes, DockerPython, JavaScript, Web
CategoryCloudAI

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 LangGraph

  • Human-in-the-loop controls
  • Customizable workflows
  • Memory management
  • Token-by-token streaming
  • Low-level control
  • Multi-agent support

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 LangGraph
  • Understanding real service dependencies rather than the diagram on the wikinot LangGraph
  • Debugging failures that only appear under production traffic patternsnot LangGraph

LangGraph

  • Building production AI agents with auditable workflowsnot Jaeger
  • Designing multi-agent systems for complex tasksnot Jaeger
  • Implementing human oversight in autonomous systemsnot Jaeger
  • Creating reliable agentic applications at scalenot 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

LangGraph

  • Steeper learning curve compared to high-level abstractions
  • Requires understanding of graph-based architecture
  • Debugging complex workflows can be challenging
  • Not optimized for simple, one-off use cases

Pricing, plan by plan

Jaeger

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

LangGraph

Free
  • Open SourceFree
    • MIT-licensed framework
    • Self-hosted deployment
    • Full API access
  • LangGraph Platform$35/month
    • Managed hosting
    • Enterprise deployment
    • Integrated tooling

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 LangGraph if

  • You need human-in-the-loop controls.
  • You want to start without paying.
  • You work on Python, JavaScript, Web.
  • You also want customizable workflows.
LangGraph review

Questions people ask

Is Jaeger or LangGraph better?
Neither clearly leads. Jaeger starts at Free and LangGraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jaeger or LangGraph?
Jaeger starts at Free and LangGraph at Free.
Does Jaeger or LangGraph run on more platforms?
Jaeger runs on Linux, Kubernetes, Docker. LangGraph runs on Python, JavaScript, Web.
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 LangGraph is typically brought in for.
What can Jaeger do that LangGraph cannot?
Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming.

Answered from the vendors’ own pages

Jaeger: Is Jaeger free?

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

LangGraph: Is LangGraph free to use?

Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.

Source
Jaeger: Do I use Jaeger or OpenTelemetry?

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

LangGraph: What programming languages does LangGraph support?

LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.

Source
Jaeger: Does Jaeger handle metrics and logs?

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

LangGraph: Can I deploy LangGraph in production?

Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.

Source
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