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moai-domain-database

Implement polyglot persistence patterns across PostgreSQL, MongoDB, and Redis.

Updated Jan 12, 2026
Search Tags:#database#scalability#postgresql#redis#mongodb#polyglot-persistence#data-patterns
One-click install
npx skills add https://github.com/windysky/claude_notification_wsl2 --skill moai-domain-database-windysky
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-domain-database
Source: https://github.com/windysky/claude_notification_wsl2/tree/main/.claude/skills/moai-domain-database
Command: npx skills add https://github.com/windysky/claude_notification_wsl2 --skill moai-domain-database-windysky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Database architects and engineers need a cohesive set of proven patterns to design robust, scalable systems spanning PostgreSQL, MongoDB, and Redis. This Skill provides comprehensive patterns and practical guidance to implement polyglot persistence, cross-database transactions, and optimized data paths.

Core Features & Use Cases

  • Polyglot persistence patterns across PostgreSQL, MongoDB, and Redis to optimize data storage and access.
  • Multi-database transaction and consistency strategies with compensating actions and eventual consistency guidance.
  • Caching, data synchronization, and performance tuning patterns to support high-throughput applications.
  • Use Case: design a scalable customer analytics pipeline using relational storage for core data, document stores for flexible profiles, and Redis for fast caches and counters.

Quick Start

To begin, set up connections to PostgreSQL, MongoDB, and Redis, initialize a shared data access layer, and run a simple read/write transaction demonstrating cross-database coordination.

Frequently Asked Questions about moai-domain-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement polyglot persistence across PostgreSQL, MongoDB, and Redis?▼

Polyglot persistence across PostgreSQL, MongoDB, and Redis is implemented using comprehensive patterns for optimized data storage, access, and a shared data access layer to coordinate cross-database operations.

What is the best way to handle multi-database transactions for scalable applications?▼

Multi-database transactions are handled using consistency strategies that incorporate compensating actions and eventual consistency guidance to ensure reliable cross-database coordination in scalable applications.

How does cross-database data synchronization work with Redis caching and PostgreSQL?▼

Cross-database data synchronization with Redis caching works by applying performance tuning patterns and caching strategies that support high-throughput data access between fast caches and relational storage.

When do I need polyglot persistence patterns for enterprise data solutions?▼

You need polyglot persistence patterns for enterprise data solutions when designing scalable architectures requiring optimized data paths, such as separating core relational data, flexible document profiles, and fast counters.

Can I use MongoDB and PostgreSQL together for a customer analytics pipeline?▼

Yes, you can use MongoDB and PostgreSQL together for a customer analytics pipeline by applying patterns that utilize relational storage for core data and document stores for flexible customer profiles.

What are the limitations of cross-database integration without compensating actions?▼

Without compensating actions, cross-database integration lacks robust consistency strategies, risking data anomalies during multi-database transactions instead of achieving the guided eventual consistency provided by established patterns.

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