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Jaeger vs Lambda

Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Rated
-

The short version

  • Only Jaeger has a free tier, so it costs nothing to try first.
  • Each has a real cost: Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps; Lambda no free tier or trial, requiring immediate commitment for testing
  • They diverge on capability: Jaeger covers Distributed trace search, Lambda covers Superclusters.

Where they differ

Only the attributes on which Jaeger and Lambda actually diverge.

Attributes where Jaeger and Lambda differ
AttributeJaegerLambda
Starting priceFreeOn request
Pricing modelOpen source, no licence feePay-as-you-go hourly pricing with volume discounts for reserved capacity
Free tierYesNo
PlatformsLinux, Kubernetes, DockerCloud
FoundedUnknown2012

Identical on both: 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 Lambda

  • Superclusters
  • 1-Click Clusters
  • On-demand instances
  • Liquid cooling
  • InfiniBand networking
  • Managed orchestration
  • Co-engineering 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 Lambda
  • Understanding real service dependencies rather than the diagram on the wikinot Lambda
  • Debugging failures that only appear under production traffic patternsnot Lambda

Lambda

  • Training foundation models at scale with dedicated GPU infrastructurenot Jaeger
  • Large-scale inference serving on enterprise-grade hardwarenot Jaeger
  • Multi-GPU distributed training with InfiniBand networkingnot Jaeger
  • Single-tenant secure compute for regulated industriesnot Jaeger
  • AI lab infrastructure for frontier model developmentnot 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

Lambda

  • No free tier or trial, requiring immediate commitment for testing
  • Single-tenant Superclusters require custom pricing discussions
  • Pricing complexity across multiple GPU types and cluster sizes
  • Less suitable for experimentation or small teams with tight budgets

Pricing, plan by plan

Jaeger

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

Lambda

On request
  • 1-Click Clusters B200$undefined/hourly
    • 16 GPUs: $9.86/GPU/hour
    • 256+ GPUs: $8.87/GPU/hour
    • 1-year+ reserved discounts available
  • 1-Click Clusters H100$undefined/hourly
    • 16 GPUs: $6.16/GPU/hour
    • 256+ GPUs: $5.54/GPU/hour
  • On-Demand Instances B200$undefined/hourly
    • SXM6: $6.69/GPU/hour
  • On-Demand Instances H100$undefined/hourly
    • SXM: $3.99/GPU/hour

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.

Choose Lambda if

  • You need superclusters.
  • You work on Cloud.
  • You also want 1-click clusters.

Questions people ask

Is Jaeger or Lambda better?
Neither clearly leads. Jaeger starts at Free and Lambda at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jaeger or Lambda?
Jaeger has a free tier; the other does not. Paid plans start at Free for Jaeger and On request for Lambda.
Does Jaeger or Lambda run on more platforms?
Jaeger runs on Linux, Kubernetes, Docker. Lambda runs on Cloud.
Can I use Jaeger for free?
Yes. Jaeger has a free tier, so you can try it without paying. Lambda starts at On request.
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 Lambda is typically brought in for.
What can Jaeger do that Lambda cannot?
Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling.

Answered from the vendors’ own pages

Jaeger: Is Jaeger free?

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

Lambda: What makes Lambda's infrastructure different?

Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.

Source
Jaeger: Do I use Jaeger or OpenTelemetry?

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

Lambda: How does pricing work for large clusters?

1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.

Source
Jaeger: Does Jaeger handle metrics and logs?

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

Lambda: Which GPU types are available?

Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.

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