Data connections are the foundation of everything you build in Tepun AI Report Builder. Connect your databases, and AI takes over — analyzing your schema, understanding relationships, and generating intelligent suggestions for reports and dashboards.
What are Data Connections?
A data connection in Tepun reports is a secure link between your database and the analytics platform. Once connected, Tepun AI can:
- Read your database schema (tables, columns, relationships)
- Understand your data structure without manual configuration
- Generate AI-powered suggestions for datasets, reports, and workbooks
- Execute queries securely to power your analytics
Schema Intelligence: When you create a connection at report.tepun.com, the AI automatically scans and indexes your database schema. This powers everything — from natural language query understanding to intelligent report suggestions.
The Traditional Way: Before AI-Powered Connections
Before platforms like Tepun AI Report Builder, setting up data connections for analytics was painful:
- Manual Schema Mapping: Administrators had to manually document every table, column, and relationship
- No Intelligent Discovery: Tools showed raw schema but didn't understand what it meant
- Configuration Overload: Setting up semantic layers, data models, and metadata took weeks
- IT Bottleneck: Only database admins could create connections, leaving business users waiting
- Static Documentation: Schema changes required manual updates to documentation
How AI Changes Data Connections
Tepun AI transforms data connections from a technical chore into an intelligent foundation:
Automatic Schema Analysis
AI scans your database and understands table purposes, column meanings, and relationships automatically.
Intelligent Suggestions
Based on your schema, AI generates dataset, report, and workbook suggestions tailored to your data.
Visual ER Diagrams
See your database structure as interactive entity-relationship diagrams, auto-generated from schema.
Dynamic Updates
Refresh schema to capture new tables and columns. AI re-analyzes and updates suggestions.
Supported Data Sources
Tepun AI Report Builder supports major database platforms:
| Database | Use Cases |
|---|---|
| PostgreSQL | Cloud databases, AWS RDS, Azure Database, Heroku, Supabase |
| MySQL / MariaDB | Web applications, e-commerce platforms, CMS systems |
| SQL Server | Enterprise systems, ERP, CRM, Windows environments |
| Oracle | Enterprise data warehouses, legacy systems |
Topics in This Section
Learn everything about data connections in Tepun reports:
How to Create a Connection
Step-by-step guide to connecting your database and enabling AI analysis.
Schema Explorer & ER Diagrams
Navigate tables, view relationships, and explore your data structure visually.
AI Suggestions
How AI generates report and dataset suggestions from your schema.
Edit, Refresh & Manage
Update connection settings, refresh schema, and manage vector stores.
Start building with Tepun AI Report Builder — create your first connection now.