Project Technology
Databases, storage, caching, persistence, and structured data technologies.
Data Architecture
Modern applications rely on multiple data technologies because each one solves a different responsibility. Some permanently store business information, while others temporarily hold frequently accessed information or simplify communication between applications and databases.
The goal is not to use more technologies. It is to choose the right technology for each responsibility, with clear boundaries between relational storage, commerce data, temporary high-speed data, and the data access layer.
Core Technologies
These four technologies are not interchangeable: PostgreSQL and MySQL are relational databases, Redis provides temporary high-speed storage, and Prisma is an ORM used by backend code.
Clear Boundaries
Each part of the data stack exists for a distinct reason, so storage and access choices follow the needs of the information being handled.
PostgreSQL preserves structured operational records where relationships, consistency, and durable transactions matter.
PostgreSQL
MySQL supports the products, orders, inventory, and configuration managed by the established WooCommerce platform.
MySQL
Redis handles short-lived or frequently requested information so permanent databases do not carry every temporary workload.
Redis
Prisma gives backend code a typed, maintainable way to work with relational data while the database remains responsible for storage.
Prisma
Purposeful Choices
Using multiple technologies is intentional because permanent storage, commerce management, temporary performance optimization, and backend-to-database communication are different architectural problems.
Clear separation keeps each tool focused on the responsibility it is designed to handle. The result is not one database replacing another, but a set of complementary layers with explicit roles.
System Paths
The main application path, commerce path, and temporary supporting layer remain separate even when they participate in the same user workflow.
Practical Advantages
Durable databases preserve important application and commerce records.
Relational models connect records while maintaining clear data rules.
Temporary data can be served quickly without becoming the permanent record.
A focused ORM layer keeps data access readable and easier to maintain.
Each layer can be operated according to its workload and responsibility.
Permanent, commerce, temporary, and access concerns remain clearly distinguished.
Balanced Assessment
Each additional layer adds its own configuration and operational needs.
Durable stores need backups suited to their distinct data and recovery requirements.
Database, cache, and application access health must be observed independently.
Temporary copies must be refreshed or removed when underlying information changes.
Structured models need controlled changes as application requirements develop.
Database migrations require review, sequencing, and recovery preparation.
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