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Logging · head to head

Fluentd vs Telegraf

Fluentd logo

Fluentd

Logging

Open Source Data Collector for Unified Logging

From
Free
Rated
-
Telegraf logo

Telegraf

Logging

The Plugin-Driven Server Agent for Collecting and Reporting Metrics

From
Free
Rated
-

The short version

  • Each has a real cost: Fluentd fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit; Telegraf telegraf's core is open source and free, and InfluxData names a separate Telegraf Enterprise tier for teams running it at scale with no price published
  • They diverge on capability: Fluentd covers Log collection, Telegraf covers Metrics collection.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Fluentd and Telegraf actually diverge.

Attributes where Fluentd and Telegraf differ
AttributeFluentdTelegraf
Founded20112013

Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), platforms (Web, Api), 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 Fluentd

  • Log collection
  • Data parsing
  • Filtering and buffering
  • Event routing

Only in Telegraf

  • Metrics collection
  • System monitoring
  • Application monitoring
  • Plugin architecture

Both cover

  • API
  • Webhooks
  • REST
  • Web support
  • Api support

What people use each for

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

Fluentd

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

Telegraf

  • Log monitoringnot Fluentd
  • Application performancenot Fluentd
  • Security analyticsnot Fluentd
  • Troubleshootingnot Fluentd

Where each one falls short

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

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

Telegraf

  • Telegraf's core is open source and free, and InfluxData names a separate Telegraf Enterprise tier for teams running it at scale with no price published

Pricing, plan by plan

Fluentd

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

Telegraf

Free
  • FreeFree
    • Metrics collection
    • System monitoring
    • Application monitoring

Which should you pick?

Choose Fluentd if

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

Choose Telegraf if

  • You need metrics collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want system monitoring.

Questions people ask

Is Fluentd or Telegraf better?
Neither clearly leads. Fluentd starts at Free and Telegraf at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fluentd or Telegraf?
Fluentd starts at Free and Telegraf at Free.
Does Fluentd or Telegraf run on more platforms?
Both run on Web, Api, so platform support will not decide this one for you.
Can I use Fluentd for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fluentd best used for?
Fluentd is most often used for unified log collection and routing from many sources to many destinations, parsing and transforming log records before forwarding, aggregating logs from containers into elasticsearch, s3 or a siem. Of those, unified log collection and routing from many sources to many destinations and parsing and transforming log records before forwarding are not what Telegraf is typically brought in for.
What can Fluentd do that Telegraf cannot?
Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing. Telegraf covers Metrics collection, System monitoring, Application monitoring, Plugin architecture. Both handle API, Webhooks, REST, Web support.

Answered from the vendors’ own pages

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
Telegraf: Is Telegraf free to use?

Yes, Telegraf OSS is free and open source. It can be downloaded and used at no cost for collecting metrics from infrastructure, applications, and devices using over 400 community-tested plugins.

Source
Telegraf: What is Telegraf Enterprise and how much does it cost?

Telegraf Enterprise is a commercial offering for managing Telegraf at scale. It is licensed annually with entry-level packages starting at $18,000 per year, and pricing scales based on the total number of Telegraf agents under management.

Source
Telegraf: Can I try Telegraf Enterprise before purchasing?

Yes, a free tier of Telegraf Controller is available for evaluation. It allows you to store up to 20 configurations and manage up to 100 reporting agents.

Source
Telegraf: Can Telegraf OSS be used for commercial purposes?

Telegraf OSS is free and available as open source software, suitable for commercial deployments without licensing fees. For large-scale enterprise needs, Telegraf Enterprise is the commercial offering.

Source
Telegraf: How many plugins does Telegraf support?

Telegraf includes over 400 community-tested plugins that can connect to various data sources and destinations including Kubernetes, Docker, AWS, Google Cloud, Azure, Kafka, and many databases.

Source
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