Kibana
UnclaimedVisualize, explore, and manage your data stored in Elasticsearch with an open-source interface.
Visit WebsiteTL;DR - Kibana
- Open-source interface for querying, analyzing, and visualizing Elasticsearch data.
- Features AI-powered search, machine learning for anomaly detection, and geospatial analysis.
- Supports observability, security, and enterprise search use cases with flexible deployment.
Pricing: Paid only
Best for: Enterprises & pros
4.1/5 across review platforms
Pros & Cons
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
Ratings Across the Web
4.1(5 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Search and explore data with natural language input and AI AssistantBuild interactive dashboards and visualizations (metrics, charts, graphs, maps, tables)Integrate data with AI for query generation and explanationAnomaly detection with no-code machine learningMap and analyze geospatial data with multilayer mapsSet 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 Plans
Free TrialHosted
Resource based pricing
- Full visibility and control over HW configuration, clusters size, node count, and versions
- Custom control over cluster capacity
- All solutions and platform capabilities
- Four support tiers, depending on the Elastic Cloud subscription tier
- 99.95% Monthly Uptime SLA for Platinum and Enterprise subscription tiers
Serverless
Usage based pricing
- Fully 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
- Notable upcoming features: traffic filtering, cross project search, and bring your own key
- Four support tiers, depending on the Elastic Cloud subscription tier
- 99.95% Monthly Uptime SLA for Platinum and Enterprise subscription tiers
Self-managed
License based pricing
- Full 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
- Two subscription tiers (Platinum and Enterprise) with identical support SLA
About Kibana
By Toolradar Team·
Kibana is the open-source interface for Elasticsearch, designed to help users query, analyze, visualize, and manage their data. It provides a single UI for searching, analyzing, visualizing, and alerting on data, incorporating built-in machine learning, geospatial analysis, and AI-powered correlation. Kibana is built for speed, scale, and operational control across structured, semi-structured, and unstructured data.
This tool is ideal for data analysts, developers, security professionals, and operations teams who need to gain insights from large datasets. It enables users to build interactive dashboards, detect anomalies, map geospatial patterns, and automate responses, making it a powerful platform for observability, security, and enterprise search use cases. Kibana offers flexible deployment options, including serverless, hosted, and self-managed, to suit various operational and scalability needs.
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Kibana FAQ
How does Kibana facilitate real-time data analysis with AI?
Kibana allows users to query data in real time, incorporating built-in machine learning, geospatial analysis, and AI-powered correlation. It is designed for speed, scale, and operational control across various data types, enabling immediate insights and actions.
What specific AI capabilities are integrated into Kibana for data exploration and query generation?
Kibana integrates an AI Assistant and Agent Builder that understand field context to accelerate analysis. Users can employ natural language to generate and explain queries, troubleshoot issues, and explore data without needing to memorize syntax or manually build queries.
Can Kibana be used to detect anomalies and automate responses without writing code?
Yes, Kibana offers no-code machine learning jobs to uncover anomalies, rare events, and message patterns. It also allows users to define intelligent alert rules that trigger automated responses and workflows, integrating with systems like Slack, PagerDuty, and ServiceNow.
How does Kibana support geospatial data visualization and analysis?
Kibana provides multilayer maps, distance filters, and shape overlays for visualizing and querying geospatial data. The Elastic Maps Service delivers basemaps and boundaries, supporting both online and offline or air-gapped environments.
What tools does Kibana offer for developers to interact with Elasticsearch and manage Kibana objects programmatically?
Kibana includes a Dev Tools Console for running Elasticsearch API calls, testing queries, and debugging responses with an interactive JSON editor. Additionally, Kibana objects like Discover Sessions, Dashboards, and Alert Rules can be managed programmatically using Kibana's API or Terraform provider.
How does Kibana unify different operational aspects like observability, security, and search?
Kibana acts as a central window, bringing together observability, security, and search into one intuitive platform. This allows users to monitor logs, metrics, and traces, detect threats, investigate security events, and build custom enterprise search experiences all from a single UI.
Source: elastic.co