Getting started with OpenSearch Dashboards
OpenSearch Dashboards is the web interface for OpenSearch. Use it to explore your data, build visualizations, assemble dashboards, and run queries.
Before you begin, ensure that you’re familiar with basic OpenSearch concepts like documents and indexes. For more information, see Introduction to OpenSearch.
Prerequisites
To use OpenSearch Dashboards, you need access to one of the following:
- The OpenSearch Playground (online, read-only—no installation needed).
- A local installation of OpenSearch and OpenSearch Dashboards. See the Installation quickstart for a quick Docker setup, or Installing OpenSearch Dashboards for other methods.
How to use this section
Choose one of the following paths to get familiar with the applications:
- Using the OpenSearch Playground (no installation needed): Start with Learn about main applications and query languages.
- Using a local installation: Start with Install OpenSearch Dashboards and add data, then continue to Learn about main applications and query languages.
For terminology definitions, see Concepts.
Install OpenSearch Dashboards and add data
Install OpenSearch and OpenSearch Dashboards.
Open the UI, learn to navigate, and explore each application.
Add sample data or ingest your own data and create an index pattern.
Learn about main applications and query languages
Discover what each application does and when to use it.
Search and filter data.
Create a visualization.
View and filter a dashboard.
Run queries in OpenSearch Dashboards
The Dev Tools console lets you run OpenSearch API queries written in Query DSL directly in a simplified syntax instead of using cURL. For more information, see Running queries in the Dev Tools console.
The typical workflow
Once you’re familiar with the applications, the standard approach to building dashboards follows three steps: explore your data, build individual visualizations, then assemble those visualizations into a dashboard. To learn about each step in detail, use the following links to explore the full documentation.
Search, filter, and examine your data interactively. Understand what fields are available, how data is distributed over time, and what patterns exist.
Learn about ways to create charts, maps, tables, and other visual representations of your data.
Combine multiple visualizations into a single page for monitoring and analysis.