Redash

Connect, query, visualize, and share data from any SQL or NoSQL source

Replaces

Tableau

Looker

Power BI

28k Python BSD-2-Clause 3 months ago

Overview

Redash is an open-source tool for querying data sources, building visualizations, and assembling dashboards. It centers on a browser-based SQL editor with support for 35+ data sources, scheduled query refreshes, and alerting. It is a lightweight choice for SQL-first teams that want shareable dashboards.

Key features

Browser-based SQL editor as the primary query interface
Connectors for 35+ SQL and NoSQL data sources
Visualizations assembled into shareable dashboards
Scheduled query refreshes to keep data current
Alerting on query results

Our take

Redash is a pragmatic choice when your team already knows SQL and just wants a shared place to write queries, chart the results, and pin them to a dashboard. Broad data-source support and scheduled refreshes plus alerting cover the day-to-day needs of an internal analytics setup, and the browser-based editor keeps the barrier low. The honest caveat is that Redash is SQL-centric by design, so it lacks the drag-and-drop modeling and self-serve exploration that tools like Tableau or Looker offer to non-technical users. Self-hosting also means running the full Docker stack (Postgres, Redis, workers), so budget some operational effort, and keep an eye on the project's release cadence before committing.

Ideal for: SQL-first analytics teams that want to query existing databases and share dashboards without a heavyweight BI suite.

Where it falls short of Tableau

SQL-centric: limited value for non-technical users versus Tableau/Power BI drag-and-drop
Visualization variety and interactivity are basic compared to leading commercial BI
No semantic modeling layer and limited governance/RBAC features
Development pace slowed for a period after the Databricks acquisition; community-driven releases

We list the gaps honestly so you can decide if the trade-off is worth owning your data.