Comparison

Kamon vs Parca

No leader: the top candidate Kamon has only 0.21 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Kamon60
Parca39
Score
Vioscale score
Kamon60 / 100low · 21%
Parca39 / 100medium · 54%
Pricing
Free tier
Kamon
Parca
Model
Price level
Kamonhigh
Parcafree
Transparent
Kamon
Parca
Integrations
Count
Kamon10
Parca1
Adoption
Dependent repos
Kamon
Parca40
Github stars
Kamon
Parca4,951
Activity
Commits last 30d
Kamon
Parca16
Release
Cadence days
Kamon
Parca71
History
Kamon
License
Spdx
Kamon
Language
Primary
Kamon
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for apm tools. “-” means undocumented, not absent.

Instrumentation
Auto-instrumentation
Kamon
Parca
Distributed tracing
Kamon
Parca-
Insight
Service map
Kamon
Parca-
Code / continuous profiling
Kamon
Parca
Database monitoring
Kamon
Parca-
Error analytics
Kamon
Parca-
Real-user monitoring
Kamon
Parca-
SLO / error-budget tracking
Kamon
Parca-
Intelligence
Anomaly / root-cause AI
Kamon
Parca-
Standards
OpenTelemetry support
Kamon-
ParcaNone
Core
Language agents
KamonScala, Akka, Play Framework, Cats Effect, Akka HTTP, Lagom
ParcaC, C++, Rust, Go, and more
Deployment
Hosting
KamonCloud only
ParcaSelf-hosted only

What each one is

The product in its own terms, so the numbers below have context.

Kamon

Application performance monitoring platform providing metrics and distributed tracing for backend services. Supports open-source Kamon Telemetry instrumentation and integrates with Prometheus, Jaeger, and other observability tools.

Independently observed

Parca

Open source continuous profiling platform for analyzing CPU, memory, and IO usage down to the line number across entire infrastructure using eBPF.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Kamon

from $89/moSubscriptionFree tier

From $89/mo. Free tier includes 5K metrics and 10M spans/month. Fixed subscription with transparent add-ons, no surprise overage charges.

  • StarterFree
    • High-fidelity metrics with up to 1% error margin
    • End-to-end distributed tracing
    • Service map with dependencies and realtime status
    • Built-in integrations for HTTP, Database, and Akka services
    • Track CPU, memory, and file system usage for unlimited hosts
    • +4 more
  • Teams$89/mo - 10K metrics, 100M spans/mo, 20 team members
    • High-fidelity metrics with up to 1% error margin
    • End-to-end distributed tracing
    • Service map with dependencies and realtime status
    • Built-in integrations for HTTP, Database, and Akka services
    • Track CPU, memory, and file system usage for unlimited hosts
    • +7 more
  • Business$299/mo - 30K metrics, 500M spans/mo, 50 team members
    • High-fidelity metrics with up to 1% error margin
    • End-to-end distributed tracing
    • Service map with dependencies and realtime status
    • Built-in integrations for HTTP, Database, and Akka services
    • Track CPU, memory, and file system usage for unlimited hosts
    • +7 more
  • EnterpriseContact sales
    • Custom metrics capacity
    • Custom span limits
    • Custom data retention
    • Dedicated support
    • Volume discounts
    • +1 more
as of verify ↗

Parca

Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Kamon
Parca
Linux
Kamon
Parca
CLI
Kamon
Parca
Deployment
Cloud / SaaS
Kamon
Parca
Self-hosted
Kamon
Parca

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Kamon

10 total
  • Prometheus
  • Jaeger
  • Datadog
  • Slack
  • PagerDuty
  • Akka
  • Play Framework
  • Cats Effect
  • Lagom Framework
  • Akka HTTP
Independently observed

Parca

1 total
  • Kubernetes
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.