moai-domain-database

Multi-database architecture is structured using polyglot persistence patterns that span PostgreSQL, MongoDB, and Redis. It provides data routing, cross-database transaction approaches, and cache integration strategies to maintain consistent access across relational, document, and in-memory stores.

Cross-database transactions in a polyglot persistence setup coordinate writes across PostgreSQL, MongoDB, and Redis using pattern-driven approaches. This Skill provides specific strategies to handle distributed data consistency and cache invalidation during multi-store operations.

Performance optimization when scaling PostgreSQL and Redis involves applying specific indexing strategies, materialized views, and targeted in-memory caching patterns. This Skill provides workflows to tune these multi-database environments for high-throughput enterprise services.

Yes, this multi-database patterns approach supports enterprise app migrations by providing operational guidance and migration tooling. It helps transition existing data layers to a robust architecture spanning PostgreSQL, MongoDB, and Redis without disrupting service.

A multi-database architecture with PostgreSQL, MongoDB, and Redis should be avoided when your application requires only simple relational storage without complex caching or document modeling needs. Polyglot persistence introduces operational overhead that is unnecessary for single-store data requirements.