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Cloud · head to head

Jaeger vs Valkey

Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

From
Free
Rated
-

The short version

  • Each has a real cost: Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: Jaeger covers Distributed trace search, Valkey covers Redis-compatible.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Jaeger and Valkey actually diverge.

Attributes where Jaeger and Valkey differ
AttributeJaegerValkey
Pricing modelOpen source, no licence feeOpen source, no licence fee; managed cloud billed separately
PlatformsLinux, Kubernetes, DockerLinux, macOS, Docker, 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 Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

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

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot Jaeger
  • Caching and session storage where a foundation-governed project is a procurement requirementnot Jaeger
  • Migrating from Redis without rewriting application codenot 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

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

Pricing, plan by plan

Jaeger

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

Valkey

Free
  • ValkeyFree
    • 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.

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.

Questions people ask

Is Jaeger or Valkey better?
Neither clearly leads. Jaeger starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jaeger or Valkey?
Jaeger starts at Free and Valkey at Free.
Does Jaeger or Valkey run on more platforms?
Jaeger runs on Linux, Kubernetes, Docker. Valkey runs on Linux, macOS, Docker, 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 Valkey is typically brought in for.
What can Jaeger do that Valkey cannot?
Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

Answered from the vendors’ own pages

Jaeger: Is Jaeger free?

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

Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

Jaeger: Do I use Jaeger or OpenTelemetry?

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

Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

Jaeger: Does Jaeger handle metrics and logs?

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

Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

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