Jaeger
Open source, distributed tracing platform
- Also known as
- jaeger
What is Jaeger?
Jaeger is an open source, cloud native distributed tracing platform for monitoring and troubleshooting workflows in complex distributed systems. It maps request flows across microservices to identify performance bottlenecks, root causes, and improve application reliability.
Jaeger pricing
We don't have Jaeger's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Open source, free to use
What Jaeger does
The capabilities that matter for distributed tracing tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Trace role
- SaaS platform
- OpenTelemetry support
- OTel-native
- Multi-protocol (Jaeger + Zipkin + OTLP)
- -
- Trace search / filter by attributes
- -
- Service dependency graph
- ✓
- High-cardinality attribute exploration
- -
- Tail-based / dynamic sampling
- ✓
- Auto-instrumentation
- -
- Correlate traces with metrics/logs
- -
- Hosting
- Self-hosted only
- Storage backend
- Multiple backends: Badger, Cassandra, ClickHouse, Elasticsearch, Kafka, Memory,
Platform & deployment
Independently observed- CLI
- Web
- On-premise
- Self-hosted
Jaeger alternatives
Other distributed tracing tools we track, ranked by the same independent score.
- OpenTelemetryThe open standard for telemetrylow · 37%
- SigNozThe Open Source Datadog Alternativelow · 37%
- UptraceOpenTelemetry-native observabilitylow · 48%
- OpenTelemetryThe open standard for telemetrylow · 47%
- Grafana TempoScale tracing with minimal operational cost and less complexitylow · 46%
- OdigosAsk Production Anythinglow · 12%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Jaeger, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Github Activity | 63 | 18.00 | 1135.8 | ✓ |
| Release Cadence | 86 | 10.00 | 855.6 | ✓ |
| Capabilities | 46 | 12.00 | 549.8 | ✓ |
| Github Stars | 82 | 5.00 | 411.5 | ✓ |
| Integrations | 0 | 16.00 | 0.0 | - |
| Security Posture | 0 | 22.00 | 0.0 | - |
| Package Downloads | 0 | 26.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 12.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-08-01 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 23,050 | highsource · 2026-08-01 · 90% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"hosting":"self","trace_role":"platform","service_map":true,"otel_support":"native","tail_sampling":true,"storage_backend":"Multiple backends: Badger, Cassandra, ClickHouse, Elasticsearch, Kafka, Memory, "} | mediumsource · 2026-08-01 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Go | highsource · 2026-08-01 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-01 · 95% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 26 | mediumsource · 2026-08-01 · 70% |