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redash-analytics-guide

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Guide to Redash for SQL-driven research data dashboards and sharing

skills/analysis/dataviz/redash-analytics-guide/SKILL.md

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# Redash Analytics Guide

## Overview

Redash is an open-source data visualization and dashboarding tool with over 28K stars on GitHub. It is designed for analysts and researchers who prefer writing SQL to explore and visualize data. Redash connects to virtually any data source that supports SQL or has an API, and provides a browser-based query editor with autocomplete, visualization builder, and dashboard composer.

For academic research groups, Redash offers a lightweight, self-hosted alternative to commercial BI tools. Its SQL-first approach is natural for researchers who already work with databases, and its sharing features make it straightforward to create dashboards that the entire lab can access. Unlike Metabase which emphasizes no-code exploration, Redash is specifically designed for users who are comfortable writing queries and want direct control over their data retrieval logic.

Redash supports over 35 data source types, including PostgreSQL, MySQL, SQLite, BigQuery, Elasticsearch, MongoDB, Google Sheets, CSV files, and even custom Python scripts. This versatility means researchers can build unified dashboards that pull data from multiple sources: experiment databases, survey platforms, instrument logs, and cloud storage.

## Installation and Configuration

### Docker Compose Deployment
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