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Elastic Docs ›Kibana User Guide [4.0]

What’s New in Kibana 4

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What’s New in Kibana 4

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Kibana 4 provides dozens of new features that enable you to compose questions, get answers, and solve problems like never before. It has a brand-new look and feel and improved workflows for discovering and visualizing your data and building and sharing dashboards.

Key Features

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  • New data search and discovery interface

  • Unified visualization builder for your favorite visualizations and some brand new ones:

    • Area Chart
    • Data Table
    • Line Chart
    • Markdown Text Widget
    • Pie Chart (including "doughnut" charts)
    • Raw Document Widget
    • Single Metric Widget
    • Tile Map
    • Vertical Bar Chart
  • Drag and drop dashboard builder that enables you to quickly add, rearrange, resize, and remove visualizations

  • Advanced aggregation-based analytics capabilities, including support for:

    • Unique counts (cardinality)
    • Non-date histograms
    • Ranges
    • Significant terms
    • Percentiles
  • Expressions-based scripted fields enable you to perform ad-hoc analysis by performing computations on the fly

Improvements

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  • Ability to save searches and visualizations enables you to link searches to visualizations and add the same visualization to multiple dashboards
  • Visualizations support an unlimited number of nested aggregations so you can display new types of visualizations, such as "doughnut" charts
  • New URL format eliminates the need for templated and scripted dashboards
  • Better mobile experience
  • Faster dashboard loading due to a reduction in the number HTTP calls needed to load the page
  • SSL encryption for client requests as well as requests to and from Elasticsearch
  • Search result highlighting

  • Easy to access and export the data behind any visualization:

    • View in a table or view as JSON
    • Export in CSV format
    • See the Elasticsearch request and response
  • Share and embed individual visualizations as well as dashboards

Nuts and Bolts

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  • Ships with its own webserver and uses Node.js on the backend—​installation binaries are provided for Linux, Windows, and Mac OS
  • Uses the D3 framework to display visualizations
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