Last updated: March 2026

Open Source Monitoring Tools Comparison 2026

Side-by-side comparison of 5 open source monitoring tools covering tracing, metrics, deployment models, and total cost of ownership.

Feature Comparison

FeatureTraceKitGrafana StackJaegerZipkinSigNoz
Tracing Capabilities
Distributed tracing
Trace visualization
Service mapsLimited
Trace comparison
Live debugging
Metrics & Logging
Metrics collection
Log aggregation
Custom dashboards
Alerting rules
Deployment & Operations
Self-hosted
Cloud managed option
Docker deployment
Kubernetes Helm chart
Community & Ecosystem
Open-source SDKs
CNCF project
OTel native support
Enterprise support
Cost of Ownership
Free self-hosted
Managed free tier
No per-host fees
Community-maintained pluginsLimitedLimited

Pricing Comparison

ToolPricing ModelStarting At
TraceKitFlat-rate (SaaS)Free tier available
Grafana StackFree self-hosted, usage-based CloudFree OSS, Cloud from $29/mo
JaegerFree (self-hosted only)Infrastructure costs only
ZipkinFree (self-hosted only)Infrastructure costs only
SigNozFree self-hosted, usage-based CloudFree OSS, Cloud from $199/mo

Frequently Asked Questions

TraceKit has open-source SDKs (MIT licensed) but the platform itself is a hosted SaaS service. For fully self-hosted deployments, Grafana Stack, Jaeger, Zipkin, and SigNoz are better options since their entire backend is open source.

While the software is free, self-hosting requires infrastructure costs (compute, storage, networking), engineering time for setup and maintenance, and ongoing operational overhead. For Jaeger or Zipkin, expect 2-5 hours per week for a small deployment. SigNoz and Grafana Stack require more resources but offer more features.

SigNoz offers the simplest self-hosted setup with a single Docker Compose file that includes tracing, metrics, and logging. Jaeger is also straightforward for tracing-only use cases. Grafana Stack requires assembling multiple components (Tempo, Loki, Mimir, Grafana) which adds complexity.

Grafana Stack and SigNoz are designed for enterprise scale with horizontal scaling and multi-tenancy. Jaeger scales well for tracing with Cassandra or Elasticsearch backends. Zipkin is suitable for small to medium workloads but may require more tuning at scale.

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