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Data & application architecture
ORM & Data Access
Build a dependable persistence layer with typed database access and established ORM patterns. Apply schema modelling, migrations, and query boundaries that align with the application's data model.
01 / Application contexts
Where this stack fits.
Examples of project contexts and delivery patterns this technology can support.
01Repository-backed stack
Typed relational data access
Prisma models, generated clients, and migration workflows for relational services.
02Repository-backed stack
Document model integration
Mongoose schemas and query patterns for MongoDB-backed features.
03Repository-backed stack
Legacy SQL integrations
Sequelize models and controlled data access for existing Node.js applications.
02 / Technology
The tools for the job.
A practical selection of technologies used to plan and deliver this kind of work.
Prisma ORMSequelizeMongooseMariaDBPostgreSQLMySQLMongoDBTypeScript
01
Schema-first modelling
Define entities, relationships, constraints, and indexes around domain requirements.
02
Migration workflows
Apply repeatable schema changes and controlled deployment migrations.
03
Typed query contracts
Keep data access functions and returned domain shapes predictable.
04
Transaction boundaries
Protect multi-step writes and business-critical updates.
03 / Outcomes
What this technology helps you achieve.
The outcome is a dependable foundation that can support your audience and business goals.
Safer persistence changes
Migrations and explicit schemas reduce accidental data shape drift.
Consistent data access
Repository boundaries separate application rules from query implementation.
Clearer domain models
Typed records support maintainable business workflows.
04 / Process
A clear path from brief to delivery.
Each stage helps keep expectations, feedback, and delivery aligned.
Map entities and relationships
Review domain records, constraints, and expected query paths.
Choose the data access layer
Select Prisma, Sequelize, or Mongoose based on storage and application needs.
Build schemas and migrations
Implement models, indexes, transactions, and seed data.
Test persistence behaviour
Verify integrity, query performance, and upgrade paths.
Next step
Let's shape the right scope for your project.
Tell me what you need and what success looks like. We can work through a practical plan.