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Logging · head to head

Kibana vs Telegraf

Kibana logo

Kibana

Logging

Visualize Your Elasticsearch Data

From
Free
Rated
-
Full reviewWebsite
Telegraf logo

Telegraf

Logging

The Plugin-Driven Server Agent for Collecting and Reporting Metrics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Kibana requires Elasticsearch; it is a front end for data held there rather than a standalone analytics tool; 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: Kibana covers Data visualization, Telegraf covers Metrics collection.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Kibana and Telegraf actually diverge.

Attributes where Kibana and Telegraf differ
AttributeKibanaTelegraf
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 Kibana

  • Data visualization
  • Dashboard creation
  • Log discovery
  • Alerting

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.

Kibana

  • Querying and visualising data held in Elasticsearchnot Telegraf
  • Dashboards over log and metric datanot Telegraf
  • Anomaly detection with machine learning jobsnot Telegraf
  • Geospatial analysis on indexed location datanot Telegraf
  • Alerting on query thresholdsnot Telegraf

Telegraf

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

Where each one falls short

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

Kibana

  • Requires Elasticsearch; it is a front end for data held there rather than a standalone analytics tool
  • Self-managed means running and scaling the Elastic stack yourself
  • Cost is not Kibana's own; it follows whichever Elastic deployment sits underneath

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

Kibana

Free
  • FreeFree
    • Data visualization
    • Dashboard creation
    • Log discovery

Telegraf

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

Which should you pick?

Choose Kibana if

  • You need data visualization.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want dashboard creation.
Kibana review

Choose Telegraf if

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

Questions people ask

Is Kibana or Telegraf better?
Neither clearly leads. Kibana 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, Kibana or Telegraf?
Kibana starts at Free and Telegraf at Free.
Does Kibana or Telegraf run on more platforms?
Both run on Web, Api, so platform support will not decide this one for you.
Can I use Kibana for free?
Both have a free tier, so you can try either at no cost before committing.
What is Kibana best used for?
Kibana is most often used for querying and visualising data held in elasticsearch, dashboards over log and metric data, anomaly detection with machine learning jobs, geospatial analysis on indexed location data. Of those, querying and visualising data held in elasticsearch and dashboards over log and metric data are not what Telegraf is typically brought in for.
What can Kibana do that Telegraf cannot?
Kibana covers Data visualization, Dashboard creation, Log discovery, Alerting. Telegraf covers Metrics collection, System monitoring, Application monitoring, Plugin architecture. Both handle API, Webhooks, REST, Web support.

Answered from the vendors’ own pages

Kibana: Is Kibana available for free?

Kibana is offered with a free trial across all deployment models (Elastic Cloud Serverless, Hosted, and self-managed). Kibana is a component of the Elastic product suite and is not priced separately.

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
Kibana: How is Kibana priced?

Kibana pricing is bundled with Elasticsearch or other Elastic products. Pricing varies by deployment model: Elastic Cloud Serverless uses usage-based pricing, Hosted uses resource-based pricing, and self-managed is free to download.

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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