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Cloud · head to head

Jaeger vs OpenSearch

Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite
OpenSearch logo

OpenSearch

Databases

Open-source search and analytics suite forked from Elasticsearch

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; OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • They diverge on capability: Jaeger covers Distributed trace search, OpenSearch covers Full-text search.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Jaeger and OpenSearch actually diverge.

Attributes where Jaeger and OpenSearch differ
AttributeJaegerOpenSearch
Pricing modelOpen source, no licence feeOpen source, no licence fee; managed services billed separately
PlatformsLinux, Kubernetes, DockerLinux, Docker, Kubernetes, Self-hosted
CategoryCloudDatabases

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 OpenSearch

  • Full-text search
  • OpenSearch Dashboards
  • Log analytics
  • Vector search

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

OpenSearch

  • Log and observability storage where an Apache-2.0 licence is a requirementnot Jaeger
  • Replacing Elasticsearch after the licence change without changing architecturenot Jaeger
  • Search plus analytics on one cluster rather than two systemsnot 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

OpenSearch

  • Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
  • Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
  • Overkill for plain application search, where a dedicated search engine is far simpler

Pricing, plan by plan

Jaeger

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

OpenSearch

Free
  • OpenSearchFree
    • Full functionality
    • Self-hosted
    • No usage limits

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 OpenSearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want opensearch dashboards.
OpenSearch review

Questions people ask

Is Jaeger or OpenSearch better?
Neither clearly leads. Jaeger starts at Free and OpenSearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jaeger or OpenSearch?
Jaeger starts at Free and OpenSearch at Free.
Does Jaeger or OpenSearch run on more platforms?
Jaeger runs on Linux, Kubernetes, Docker. OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted.
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 OpenSearch is typically brought in for.
What can Jaeger do that OpenSearch cannot?
Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search.

Answered from the vendors’ own pages

Jaeger: Is Jaeger free?

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

OpenSearch: Is OpenSearch free?

Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.

Jaeger: Do I use Jaeger or OpenTelemetry?

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

OpenSearch: Why does OpenSearch exist?

Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.

Jaeger: Does Jaeger handle metrics and logs?

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

OpenSearch: Is OpenSearch compatible with Elasticsearch?

It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.

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