Jaeger vs SigNoz

Jaeger

Distributed tracing system

SigNoz

Full-stack APM and observability platform

Feature Jaeger SigNoz
Category Monitoring Monitoring
Sub-category APM / Tracing APM / Tracing
Maturity mature mature
Complexity intermediate intermediate
Performance tier medium medium
License Apache-2.0 MIT
License type permissive permissive
Pricing fully free fully free
GitHub stars 21.0K 20.0K
Contributors 300 300
Commit frequency weekly weekly
Plugin ecosystem none none
Docs quality good good
Backing org CNCF SigNoz
Funding model foundation vc_backed
Min RAM 1 GB 4 GB
Min CPU cores 1 2
Scaling pattern single_node single_node
Self-hostable Yes Yes
K8s native Yes Yes
Offline capable No No
Vendor lock-in none none
Languages Go Go, TypeScript
API type REST REST
Protocols HTTP HTTP
Deployment docker, binary docker, binary
SDK languages
Team size fit small, medium, enterprise small, medium, enterprise
First release 2020 2020
Latest version

When to use Jaeger

  • Primary: distributed-tracing
  • Primary: latency-analysis
  • Primary: dependency-mapping

When to use SigNoz

  • Primary: application-performance-monitoring
  • Primary: distributed-tracing
  • Primary: log-analysis

Jaeger anti-patterns

  • Tracing only - no metrics or logs
  • Needs storage backend
  • UI less polished than commercial tools

SigNoz anti-patterns

  • Requires ClickHouse (heavy)
  • Younger ecosystem than competitors
  • Enterprise features limited in OSS
Full Jaeger profile → Full SigNoz profile → All comparisons