ChartDB
Self-HostedOpen-source database with built-in interactive charting capabilities
Overview
ChartDB is an open-source database management system that merges relational data storage with native chart generation. It lets users store structured data and create interactive charts (bar, line, pie) directly from SQL queries without external tools. Deployment is simplified via Docker containers for quick self-hosting, or manual setup on Linux/macOS. Features include a web-based UI, real-time chart updates, CSV/JSON data imports, and REST API access. Ideal for small teams or individuals needing to analyze data visually while keeping storage and visualization in one place.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
chartdb:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: chartdb
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Built-in interactive chart generation from SQL queries
- Dockerized deployment for easy self-hosting
- Web-based UI for data management and visualization
- CSV/JSON data import support
- REST API for programmatic access
Frequently Asked Questions
? Is ChartDB hard to install?
No—ChartDB offers a Docker image for one-click deployment. Just pull the image and run the container with minimal configuration. Manual setup is also possible but requires basic knowledge of SQL and web server setup.
? Is it a good alternative to proprietary tools like Tableau?
For small teams or individuals needing core data storage and visualization, yes. It lacks Tableau’s advanced analytics features but provides a cost-free, self-hosted solution that combines both database and charting capabilities.
? Is ChartDB completely free?
Yes—ChartDB is open-source under the MIT License, so it’s free to use, modify, and self-host without any hidden fees or subscription requirements.
Top Alternatives
People Also Ask about ChartDB
Tool Info
Pros
- ⊕ Eliminates need for separate database and charting tools
- ⊕ Open-source with no subscription costs
- ⊕ Simple setup via Docker
- ⊕ Real-time chart updates for dynamic data
Cons
- ⊖ Limited scalability for very large datasets
- ⊖ Smaller community compared to mainstream databases
- ⊖ Lacks advanced database features like sharding or replication