Redash
What it is: SQL-first analytics platform. Write queries, create visualizations, share dashboards.
What It Does Best
SQL-focused. No drag-and-drop UI. You write SQL, it visualizes results. Perfect for analysts.
Query library. Save and share queries. Fork others' queries. Collaboration built-in.
Scheduled queries. Run queries on schedule, email results. Simple alerts.
Key Features
SQL editor: Write queries, visualize results instantly
Query library: Browse, fork, and share queries across team
Scheduled refreshes: Auto-update dashboards on schedule
Alerts: Email/Slack notifications when values change
API: Programmatic access to queries and dashboards
Pricing
Open source: Free (self-hosted)
Cloud (discontinued): Now self-host only
When to Use It
✅ Team writes SQL comfortably
✅ Simple visualization needs
✅ Want query sharing/collaboration
✅ Budget for self-hosting only
✅ Need lightweight, fast setup
When NOT to Use It
❌ Non-technical users (need no-code tool)
❌ Complex visualizations (limited chart types)
❌ Want managed service (cloud offering ended)
❌ Need advanced transformations
❌ Require enterprise features
Common Use Cases
Data team dashboards: Quick SQL-based reporting for analysts
Operational monitoring: Scheduled queries for system health
Query collaboration: Share and reuse SQL across team
Simple BI: Lightweight alternative to complex BI platforms
Alerts and monitoring: Automated notifications for data changes
Redash vs Alternatives
vs Metabase: Metabase better for non-technical users; Redash cleaner for SQL-first teams
vs Superset: Superset more features; Redash simpler, faster setup
vs Mode: Mode better collaboration, versioning; Redash simpler, open source
Unique Strengths
Simplicity: Easiest SQL-to-dashboard tool to set up
Query library: Best query sharing and forking experience
Lightweight: Minimal overhead, fast performance
Open source: Free, self-hosted, community-driven
Bottom line: Simplest SQL → dashboard tool. Less feature-rich than Superset but easier to setup. Good for small data teams who live in SQL.