Project Overview
A cloud-based platform that allows users to connect multiple data sources, generate virtual
views, and visualize insights with customizable charts and tables.
Challenges
- Need to support multiple data sources such as SQL databases, spreadsheets, and APIs.
- Providing flexible data visualization layouts suitable for different business use cases.
- Implementing advanced chart customization while maintaining performance and
usability.
- Enabling easy sharing and exporting without security or access issues.
- Ensuring efficient performance while retrieving external data continuously.
Solutions
- Built a multi-source connectivity system supporting MySQL, SQL Server, PostgreSQL,
CSV, Excel, and APIs.
- Implemented custom caching (5-minute intelligent caching) to optimize performance
while keeping data fresh.
- Developed customizable data visualization modules including tables, grids, nested
tables, lists, and graphical layouts.
- Integrated advanced charting engine offering bar, line, pie, scatter and more, with full
control over labels, colors, legends, axes, etc.
- Added export and sharing capabilities, allowing users to download visualizations as
PDF, CSV, Excel, Images, or share via links / embed widgets.
- Included PayPal-based subscription payments for SaaS monetization.
Technology Used
- Frontend: HTML, CSS, JavaScript, Bootstrap
- Backend: Python
- Data Handling: Custom Caching System
- Payment Integration: PayPal
- Visualization Layer: Advanced Charting & Graphics Components
