Cloud · head to head
Jaeger vs VictoriaMetrics

VictoriaMetrics
Cloud
Fast, cost-effective time series database for metrics
- 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; VictoriaMetrics promQL compatibility is very close but not identical, and MetricsQL extensions do not port back
- They diverge on capability: Jaeger covers Distributed trace search, VictoriaMetrics covers PromQL compatible.
Where they differ
Only the attributes on which Jaeger and VictoriaMetrics actually diverge.
| Attribute | Jaeger | VictoriaMetrics |
|---|---|---|
| Platforms | Linux, Kubernetes, Docker | Linux, Docker, Kubernetes, Self-hosted |
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 VictoriaMetrics
- PromQL compatible
- Low resource use
- Single binary or cluster
- Remote write target
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 VictoriaMetrics
- Understanding real service dependencies rather than the diagram on the wikinot VictoriaMetrics
- Debugging failures that only appear under production traffic patternsnot VictoriaMetrics
VictoriaMetrics
- Keeping months or years of Prometheus metrics without the memory costnot Jaeger
- High-cardinality metrics where Prometheus strugglesnot Jaeger
- Consolidating metrics from many Prometheus instances into one queryable storenot 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
VictoriaMetrics
- PromQL compatibility is very close but not identical, and MetricsQL extensions do not port back
- Smaller community than Prometheus, so fewer guides and third-party integrations
- The clustered version has meaningfully more moving parts than the single binary suggests
- Some enterprise features sit outside the open-source offering
Pricing, plan by plan
Jaeger
Free- JaegerFree
- Full functionality
- No usage limits
- Community support
VictoriaMetrics
Free- VictoriaMetricsFree
- Full functionality
- No data 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.
Choose VictoriaMetrics if
- You need promql compatible.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want low resource use.
Questions people ask
- Is Jaeger or VictoriaMetrics better?
- Neither clearly leads. Jaeger starts at Free and VictoriaMetrics at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jaeger or VictoriaMetrics?
- Jaeger starts at Free and VictoriaMetrics at Free.
- Does Jaeger or VictoriaMetrics run on more platforms?
- Jaeger runs on Linux, Kubernetes, Docker. VictoriaMetrics 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 VictoriaMetrics is typically brought in for.
- What can Jaeger do that VictoriaMetrics cannot?
- Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. VictoriaMetrics covers PromQL compatible, Low resource use, Single binary or cluster, Remote write target.
Answered from the vendors’ own pages
Jaeger: Is Jaeger free?
Yes, open source and CNCF-graduated. Costs are the storage backend you run.
VictoriaMetrics: Is VictoriaMetrics free?
The open-source version is free with no data limits. An enterprise edition and cloud service are paid.
Jaeger: Do I use Jaeger or OpenTelemetry?
Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.
VictoriaMetrics: Does it replace Prometheus?
It can, but most teams keep Prometheus for scraping and use VictoriaMetrics as the long-term store behind it.
Jaeger: Does Jaeger handle metrics and logs?
No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.
VictoriaMetrics: Is PromQL fully supported?
Very nearly. It implements PromQL and extends it with MetricsQL, though a small number of edge-case behaviours differ.
Related pages
More on VictoriaMetrics
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