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Kibana

Kibana is the open-source interface for Elasticsearch, designed to help users query, analyze, visualize, and manage their data.

PaidPrice verified 2026-10-05Visit site ↗
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Our verdict

Who it's for

Visualize, explore, and manage your data stored in Elasticsearch with an open-source interface.

Who should look elsewhere

Requires Elasticsearch for data storage

Pros

  • +Comprehensive data visualization and analysis capabilities
  • +Integrated AI and machine learning for advanced insights and automation
  • +Supports a wide range of use cases including observability, security, and search
  • +Flexible deployment options (serverless, hosted, self-managed)
  • +Open-source with a strong community and extensive features

Cons

  • −Requires Elasticsearch for data storage
  • −Can have a learning curve for new users due to its extensive features
  • −Serverless pricing is usage-based and can vary

Key features

  • ✓Search and explore data with natural language input and AI Assistant
  • ✓Build interactive dashboards and visualizations (metrics, charts, graphs, maps, tables)
  • ✓Integrate data with AI for query generation and explanation
  • ✓Anomaly detection with no-code machine learning
  • ✓Map and analyze geospatial data with multilayer maps
  • ✓Set alerts and automate responses with integrations (Slack, PagerDuty, ServiceNow)
  • ✓Correlate and analyze multiple signals for observability (logs, metrics, traces)
  • ✓Detect and respond to security threats with prebuilt rules and anomaly detection

Pricing

PlanPriceBillingNotes
Hosted—monthFull visibility and control over HW configuration, clusters size, node count, and versions; Custom control over cluster capacity; All solutions and platform capabilities
Serverless—monthFully managed, just bring your data. Elastic manages all HW configuration, clusters size, node count, and versions.; Automatically scales up and down based on search and indexing load to optimize performance; Most solution and platform capabilities
Self-managed—monthFull control over deployment location, HW setup and configuration, orchestration, clusters size, node count, and versions; Custom control over cluster capacity, storage-based autoscaling available in ECE and ECK; All solutions and platform capabilities

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