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Logging · head to head

Traceloop vs Fluentd

Traceloop logo

Traceloop

Logging

LLM reliability platform with open-source observability and evaluation

From
Free
Rated
-
Full reviewWebsite
Fluentd logo

Fluentd

Logging

Open Source Data Collector for Unified Logging

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use; Fluentd fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit
  • They diverge on capability: Traceloop covers Open-source SDK (OpenLLMetry), Fluentd covers Log collection.

Where they differ

Only the attributes on which Traceloop and Fluentd actually diverge.

Attributes where Traceloop and Fluentd differ
AttributeTraceloopFluentd
Pricing modelFreemium with pay-as-you-go enterprise optionopen-source
PlatformsCloud, On-premises, Air-gapped, Python, TypeScript, Go, RubyWeb, Api
FoundedUnknown2011

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

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 Traceloop

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

Only in Fluentd

  • Log collection
  • Data parsing
  • Filtering and buffering
  • Event routing
  • API
  • Webhooks
  • REST
  • Web support

What people use each for

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

Traceloop

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

Fluentd

  • Unified log collection and routing from many sources to many destinationsnot Traceloop
  • Parsing and transforming log records before forwardingnot Traceloop
  • Aggregating logs from containers into Elasticsearch, S3 or a SIEMnot Traceloop

Where each one falls short

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

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

Fluentd

  • Fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit
  • Fluentd is built as a Ruby gem and depends on other gems, so a Ruby runtime is required
  • Its capability comes from over 1,000 external plugins rather than built in functionality, so each added input or output is a separate dependency
  • The Fluent Bit documentation states that cloud providers have switched from Fluentd to Fluent Bit for performance and compatibility and calls Fluent Bit the next generation solution

Pricing, plan by plan

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

Fluentd

Free
  • FreeFree
    • Log collection
    • Data parsing
    • Filtering and buffering

Which should you pick?

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

Choose Fluentd if

  • You need log collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want data parsing.
Fluentd review

Questions people ask

Is Traceloop or Fluentd better?
Neither clearly leads. Traceloop starts at Free and Fluentd at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Traceloop or Fluentd?
Traceloop starts at Free and Fluentd at Free.
Does Traceloop or Fluentd run on more platforms?
Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby. Fluentd runs on Web, Api.
Can I use Traceloop for free?
Both have a free tier, so you can try either at no cost before committing.
What is Traceloop best used for?
Traceloop is most often used for monitoring llm application performance in production, instrumenting llm apps with minimal code overhead, continuous evaluation and quality scoring of llm outputs, debugging llm application issues with full trace visibility. Of those, monitoring llm application performance in production and instrumenting llm apps with minimal code overhead are not what Fluentd is typically brought in for.
What can Traceloop do that Fluentd cannot?
Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support. Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing.

Answered from the vendors’ own pages

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
Fluentd: How much does Fluentd cost?

Fluentd is free and open-source under the Apache 2 License from the Cloud Native Computing Foundation (CNCF). There are no subscription fees, licensing costs, or commercial pricing tiers.

Source
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
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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