Explore and analyze

The Elasticsearch platform and its UI, also known as Kibana, provide a comprehensive suite of tools to help you search, interact with, explore, and analyze your data effectively. These features empower you to gain deep insights, uncover trends, and take actionable steps based on your findings. This page is an overview of the key capabilities.

Querying and filtering¶

Elasticsearch’s robust query capabilities enable you to retrieve specific data from your datasets. Using the Query DSL (Domain Specific Language), you can build powerful, flexible queries that support:

  • Full-text search
  • Boolean logic
  • Fuzzy matching
  • Proximity searches
  • Semantic search
  • …and more.

These tools simplify refining searches and pinpointing relevant information in real-time.

Scripting¶

Scripting makes custom data manipulation and transformation possible during search and aggregation processes. Using scripting languages like Painless, you can calculate custom metrics, perform conditional logic, or adjust data dynamically in search time. This flexibility ensures tailored insights specific to your needs.

Aggregations¶

Aggregations provide advanced data analysis, enabling you to extract actionable insights. With aggregations, you can calculate statistical metrics (for example, sums, averages, medians), group data into buckets (histograms, terms, and so on), or perform nested and multi-level analyses. Aggregations transform raw data into structured insights with ease.

Geospatial Analysis¶

The geospatial capabilities enable analysis of location-based data, including distance calculations, polygon and bounding box queries, and geohash grid aggregations. This functionality is necessary for logistics, real estate, and IoT industries, where location matters.

Machine Learning¶

Elasticsearch integrates machine learning for proactive analytics, helping you to:

  • Detect anomalies in time-series data
  • Forecast future trends
  • Analyze seasonal patterns
  • Perform powerful NLP operations such as semantic search
  • Machine learning models simplify complex predictive tasks, unlocking new opportunities for optimization.

Discover¶

Discover lets you interact directly with raw data. Use Discover to:

  • Browse documents in your indices
  • Apply filters and search queries
  • Visualize results in real-time

It’s the starting point for exploratory analysis.

Dashboards¶

Dashboards serve as centralized hubs for visualizing and monitoring data insights. With Dashboards, you can:

  • Combine multiple visualizations into a single, unified view
  • Display data from multiple indices or datasets for comprehensive analysis
  • Customize layouts to suit specific workflows and preferences

Dashboards provide an interactive and cohesive environment to explore trends and metrics at a glance.

Panels and visualizations¶

Panels and visualizations are the core elements that populate your dashboards, enabling dynamic data representation. They support diverse chart types, Interactive filtering, and drill-down capabilities to explore data further. These building blocks transform raw data into clear, actionable visuals, allowing users to analyze and interpret results effectively.

Reporting and sharing¶

You can share your work and findings with colleagues and stakeholders or generate reports. Report generation can be scheduled or on-demand. You can choose from multiple formats (for example, PDF, CSV). These tools ensure that actionable insights reach the right people at the right time.
Alerting
You can set up alerts to monitor your data continuously. Alerts notify you when specific conditions are met. This ensures timely action on critical issues.

Bringing it all together¶

Elasticsearch's features integrate seamlessly, offering an end-to-end solution for exploring, analyzing, and acting on data. If you want to explore any of the listed features in greater depth, refer to their respective documentation pages and check the provided hands-on examples and tutorials.