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Networking · head to head

Netdata vs Traceloop

Netdata logo

Netdata

Networking

Per-second metrics collection with automatic dashboards and on-node anomaly detection

From
Free
Rated
-
Full reviewWebsite
Traceloop logo

Traceloop

Logging

LLM reliability platform with open-source observability and evaluation

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Netdata the dashboard interface is under a restrictive Netdata licence rather than GPL and is served from Netdata infrastructure by default, so the deployment is not fully self-contained without extra configuration.; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
  • They diverge on capability: Netdata covers Per-second collection, Traceloop covers Open-source SDK (OpenLLMetry).
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Netdata and Traceloop actually diverge.

Attributes where Netdata and Traceloop differ
AttributeNetdataTraceloop
Pricing modelOpen source, no licence feeFreemium with pay-as-you-go enterprise option
PlatformsLinux, macOS, FreeBSD, Docker, Kubernetes, WindowsCloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby
CategoryNetworkingLogging

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Netdata

  • Per-second collection
  • Zero-configuration discovery
  • Edge machine learning
  • Tiered database engine
  • Streaming and replication
  • Health alarms

Only in Traceloop

  • Open-source SDK (OpenLLMetry)
  • Multi-provider support
  • Observability platform integration
  • Framework support
  • Monitoring dashboard
  • Evaluation system
  • Deployment flexibility

What people use each for

The jobs each tool is most often brought in to do.

Netdata

  • Diagnosing a short-lived performance incident where one-minute averages hide the spike entirelynot Traceloop
  • Kubernetes clusters where per-series billing from a hosted vendor has become the largest observability costnot Traceloop
  • Adding dense host visibility to an estate that already has Prometheus for application metricsnot Traceloop
  • Small teams with no monitoring engineer who need working dashboards on the day of installationnot Traceloop

Traceloop

  • Monitoring LLM application performance in productionnot Netdata
  • Instrumenting LLM apps with minimal code overheadnot Netdata
  • Continuous evaluation and quality scoring of LLM outputsnot Netdata
  • Debugging LLM application issues with full trace visibilitynot Netdata
  • Integrating observability data into existing monitoring stacksnot Netdata

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Netdata

  • The dashboard interface is under a restrictive Netdata licence rather than GPL and is served from Netdata infrastructure by default, so the deployment is not fully self-contained without extra configuration.
  • Retention is limited by disk on each node unless you build and maintain a parent tier, which makes it a poor archive for year-over-year capacity planning.
  • Per-second collection consumes noticeable CPU and memory on small or heavily loaded nodes, and on constrained edge hardware the monitoring becomes part of the problem.
  • Default alerting is generous and fires on conditions many teams consider normal, so the first weeks involve pruning alarms rather than responding to them.
  • Fleet-level features that make it usable across hundreds of nodes sit in Netdata Cloud, so the free agent alone leaves you visiting individual node dashboards.

Traceloop

  • Free tier limited to 50k spans per month and 24-hour retention, restricting production use
  • Company acquisition by ServiceNow creates uncertainty about future roadmap
  • Requires integration with separate observability platforms for visualization
  • Less feature-rich than dedicated LLM evaluation platforms

Pricing, plan by plan

Netdata

Free
  • Netdata AgentFree
    • GPLv3 agent with unlimited nodes
    • Per-second metrics and edge anomaly detection
    • Local dashboards and alerting
  • Netdata Cloud paid tiers$undefined/month
    • Per-node subscription for fleet management features
    • Role based access control and longer alert history
    • Business and enterprise support options

Traceloop

Free
  • FreeFree
    • 50,000 spans per month
    • Up to 5 seats
    • 24-hour data retention
  • Enterprise$undefined/custom
    • Unlimited spans per month
    • Unlimited seats
    • Custom data retention

Which should you pick?

Choose Netdata if

  • You need per-second collection.
  • You want to start without paying.
  • You work on Linux, macOS, FreeBSD, Docker, Kubernetes, Windows.
  • You also want zero-configuration discovery.
Netdata review

Choose Traceloop if

  • You need open-source sdk (openllmetry).
  • You want to start without paying.
  • You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
  • You also want multi-provider support.
Traceloop review

Questions people ask

Is Netdata or Traceloop better?
Neither clearly leads. Netdata starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Netdata or Traceloop?
Netdata starts at Free and Traceloop at Free.
Does Netdata or Traceloop run on more platforms?
Netdata runs on Linux, macOS, FreeBSD, Docker, Kubernetes, Windows. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
Can I use Netdata for free?
Both have a free tier, so you can try either at no cost before committing.
What is Netdata best used for?
Netdata is most often used for diagnosing a short-lived performance incident where one-minute averages hide the spike entirely, kubernetes clusters where per-series billing from a hosted vendor has become the largest observability cost, adding dense host visibility to an estate that already has prometheus for application metrics, small teams with no monitoring engineer who need working dashboards on the day of installation. Of those, diagnosing a short-lived performance incident where one-minute averages hide the spike entirely and kubernetes clusters where per-series billing from a hosted vendor has become the largest observability cost are not what Traceloop is typically brought in for.
What can Netdata do that Traceloop cannot?
Netdata covers Per-second collection, Zero-configuration discovery, Edge machine learning, Tiered database engine. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.

Answered from the vendors’ own pages

Netdata: Is Netdata fully open source?

The agent is GPLv3. The current dashboard interface is under a separate restrictive licence, so the complete product is open core rather than open source.

Traceloop: Is OpenLLMetry open-source?

Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.

Source
Netdata: Can it run without any connection to Netdata Cloud?

Yes, agents work standalone and dashboards can be served locally, but you lose fleet-wide views and need to configure local interface serving deliberately.

Traceloop: What is the impact of ServiceNow acquisition?

Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.

Source
Netdata: Does it replace Prometheus?

For host and container infrastructure metrics it often does. For custom application metrics with an existing exporter ecosystem and long retention, most teams keep both.

Traceloop: How many LLM providers and frameworks does Traceloop support?

Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.

Source
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