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πŸ—‚οΈ Database Architecture Overview

Overview

This section documents the complete database architecture of the CivicEdge platform.

The database is designed using a bounded-context–oriented approach, where each domain owns its data while sharing a common relational database.

Instead of a single monolithic schema, CivicEdge organizes data around clear functional responsibilities, improving maintainability, scalability, and clarity.


🧠 Design Philosophy

The database architecture follows these core principles:

  • Bounded Contexts for domain separation
  • Single Source of Truth per responsibility
  • Clear ownership of tables
  • Minimal cross-context coupling
  • Audit-first modeling
  • Future-safe extensibility

All tables belong to exactly one context, even though they share the same physical database.


πŸ—ΊοΈ Full Database Diagram

The diagram below represents the complete logical database structure of CivicEdge, showing how contexts interact through controlled relationships.

CivicEdge Database Diagram


🧩 Database Context Map

The CivicEdge database is divided into the following bounded contexts:

Context Description
User Context Identity, roles, profiles, availability, and audit logs
Complaint Context Citizen-reported civic issues and lifecycle tracking
Task Resolution Context Field execution, inspections, and progress updates
Provider Context External service provider references
Volunteer Context Community armies, events, and participation
Forum Context Community discussions and moderation
Polling Context Civic opinion collection and voting
Rewards Context Recognition and appreciation
Payments Context Financial reference tracking
Analytics Context Aggregated insights and system metrics

Each context is documented independently within this section.


πŸ”— Cross-Context Relationships

While contexts are logically isolated, controlled relationships exist:

  • Complaints β†’ Tasks
  • Tasks β†’ Payments
  • Tasks β†’ Providers
  • Users β†’ All contexts
  • Analytics ← All contexts (read-only)

No context is allowed to directly modify data owned by another context.


To explore the database documentation:

  1. Start with this overview
  2. Choose a context based on functionality
  3. Review the context overview
  4. Drill down into individual table documentation

This layered approach ensures clarity even as the system grows.


πŸ”‘ Summary

The CivicEdge database architecture balances real-world civic workflows with clean domain boundaries.

By combining relational consistency with bounded-context thinking, the design remains:

  • understandable
  • scalable
  • auditable
  • and future-ready

This structure enables CivicEdge to evolve without requiring disruptive schema redesigns.