Redash
Redash is an open-source BI tool for querying, visualizing, and sharing data from any data source with ease.
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Open-source BI tool for querying, visualizing, and sharing data from any source with ease.
Core Features
- Browser-based interface, no software installation
- SQL query editor with auto-complete and schema browser
- Drag-and-drop creation of beautiful visualizations
- Combine visualizations into dashboards with scheduled refreshes
- Easy sharing of queries and charts for team collaboration
What It Can't Do
- •Self-hosting requires server administration skills; use at least 2GB RAM Linux server. HTTPS not enabled by default, configure reverse proxy for production. Query performance depends on backend database; optimize SQL or use caching for large datasets.
Use Cases
- Data analysts exploring databases and creating reports
- Business users accessing shared dashboards for key metrics
- Teams collaborating on SQL queries and visualizations
Detailed Introduction
Redash is designed to enable anyone, regardless of technical sophistication, to harness the power of data. It provides a browser-based interface where SQL users can explore, query, visualize, and share data from over 35 built-in data sources (including SQL and NoSQL databases, cloud services, and APIs). Non-technical team members can then consume these insights through interactive dashboards and charts. Key features include a schema browser with auto-complete, drag-and-drop visualization creation, dashboard scheduling, alerting on data changes, and a comprehensive REST API. Millions of users at thousands of organizations use Redash daily to make data-driven decisions. It is self-hosted, giving full control over data and infrastructure.
Troubleshooting & FAQ (1)
How-toHow to enable TV mode with auto-scrolling on Redash dashboards?
Redash does not yet have a full TV mode with auto-scrolling. A fullscreen button was added via PR #748, allowing dashboards to fill the screen, but widgets do not rotate automatically. As a workaround, use the fullscreen button and manually scroll through widgets. Auto-scrolling support is a planned enhancement.
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Getting Started
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Install the software
Double-click the downloaded installer and follow the prompts
Step 1: Deploy with Docker Compose: curl -O https://raw.githubusercontent.com/getredash/setup/master/docker-compose.yml && docker-compose run --rm server create_db && docker-compose up -d
Step 2: Visit http://localhost:5000, create admin account and log in
Step 3: Add a data source (e.g., MySQL, PostgreSQL), write SQL query and save
- Step 1: Deploy with Docker Compose: curl -O https://raw.githubusercontent.com/getredash/setup/master/docker-compose.yml && docker-compose run --rm server create_db && docker-compose up -d
- Step 2: Visit http://localhost:5000, create admin account and log in
- Step 3: Add a data source (e.g., MySQL, PostgreSQL), write SQL query and save
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If deployed via Docker, run docker-compose down -v to remove containers and volumes. If using AWS AMI, terminate the EC2 instance.
No Extra Dependencies
Ready to use after download. No additional runtime required.
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