Redash — Open Source Data Visualization & Dashboard Tool

What it is

Redash is an open-source business intelligence tool that connects to virtually any data source -- PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, Elasticsearch, and dozens more. You write SQL queries in a browser-based editor, visualize results as charts and tables, and assemble them into dashboards that auto-refresh on a schedule.

Redash is designed for data analysts, engineers, and teams who prefer SQL over drag-and-drop BI tools. Its lightweight approach makes it accessible to anyone who can write a query, without the complexity of enterprise BI platforms.

How it saves time or tokens

Redash eliminates the cycle of running queries in a terminal, exporting CSVs, and pasting into spreadsheets. Queries are saved, versioned, and shareable via URL. Scheduled refreshes keep dashboards current without manual intervention. Parameterized queries let non-technical stakeholders explore data by adjusting dropdown filters rather than editing SQL.

The alert system monitors query results and notifies your team via Slack, email, or webhook when thresholds are crossed, replacing manual data checking routines.

How to use

1. Deploy Redash with Docker: git clone https://github.com/getredash/setup.git && cd redash-setup && docker compose up -d.
2. Open http://localhost:5000, create an admin account, and add a data source connection.
3. Write a SQL query in the query editor, click Visualize to create a chart, and add it to a dashboard.

Example

-- Parameterized query with date range filter
SELECT
  date_trunc('day', created_at) AS day,
  COUNT(*) AS signups
FROM users
WHERE created_at BETWEEN '{{start_date}}' AND '{{end_date}}'
GROUP BY 1
ORDER BY 1;

-- Redash renders {{start_date}} as a date picker widget
-- Results can be visualized as a line chart on a dashboard

Related on TokRepo

• Database tools -- data management and query tools
• Self-hosted tools -- open-source self-hosted solutions

Common pitfalls

• Redash stores query results in its internal PostgreSQL database; large result sets can consume significant disk space without a retention policy.
• The Docker Compose setup uses default credentials that must be changed before exposing Redash to the internet.
• Scheduled query refreshes run sequentially by default; heavy dashboards with many queries may need worker scaling to avoid stale data.