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Kibana

Freemium

Data visualization dashboard built on Elasticsearch for log, metric, and APM analytics.

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Pricing

Freemium

Type

Automation

Languages

TypeScript

// VERDICT

Reach for Kibana when your logs/data live in Elasticsearch and you want its native search, dashboards and exploration. Skip it when your data is elsewhere (Grafana is backend-agnostic) or you need a full APM platform.

Best for

The visualisation and exploration layer of the Elastic Stack - searching, dashboarding and analysing data stored in Elasticsearch, especially logs.

Avoid when

Your data isn't in Elasticsearch, you want a backend-agnostic dashboard tool, or an all-in-one APM suite.

CI/CD fit

Elastic Stack (Elasticsearch + Beats/Logstash) · self-host or Elastic Cloud

Languages

TypeScript

Team fit

Teams on the Elastic Stack · Log-heavy DevOps/QA · ELK users

Setup

Medium

Maintenance

Medium

Learning

Intermediate

Licence

Freemium

// BEST FOR

  • Searching and visualising data stored in Elasticsearch
  • Log exploration and dashboards in the Elastic (ELK) Stack
  • Powerful free-text and structured queries over logs
  • Drill-down investigation of incidents from indexed logs
  • Reusing an existing Elasticsearch investment
  • Reproducing bugs from richly-searchable log data

// AVOID WHEN

  • Your data isn't in Elasticsearch
  • You want a backend-agnostic dashboard tool (Grafana)
  • You need a full APM/metrics/traces suite (Datadog/New Relic)
  • You don't want to run the Elastic Stack
  • Single-pillar error tracking is all you need (Sentry)
  • You want a fully managed all-in-one platform without ELK

// QUICK START

Run the Elastic Stack (Elasticsearch + Beats/Logstash) and point Kibana at it ->
ship logs in -> use Kibana's search and dashboards to explore logs, investigate
incidents and reproduce bugs. (Elastic Cloud for a managed option.)

// ALTERNATIVES TO CONSIDER

ToolChoose it when
GrafanaYou want a backend-agnostic dashboard layer across many sources.
GraylogYou want a dedicated log-management platform outside the Elastic Stack.
SplunkYou want enterprise log/data analytics with deep features.

// FEATURES

  • Discover view with full-text and structured log search
  • Lens visualisations and customisable dashboards
  • Built-in APM, uptime, and synthetic monitoring apps
  • Saved searches, alerts, and ML-based anomaly detection
  • Spaces and role-based access for team isolation

// PROS

  • Tightly integrated with Elasticsearch — best fit if you already run ELK
  • Powerful query language (KQL) and visual builders
  • Advanced features (ML, security) bundled at higher tiers
  • Active development with quarterly releases

// CONS

  • Requires Elasticsearch — heavyweight to operate yourself
  • Licence model changed to SSPL/Elastic v2 in 2021 — not OSI-approved
  • Resource-intensive on large log volumes

// EXAMPLE QA WORKFLOW

  1. Stand up the Elastic Stack (Elasticsearch + shippers)

  2. Point Kibana at Elasticsearch

  3. Ship logs/data in via Beats/Logstash

  4. Build saved searches and dashboards

  5. Investigate incidents and reproduce bugs via search

  6. Manage index lifecycle/retention as volume grows

// RELATED QA.CODES RESOURCES