database-design

Designing a PostgreSQL schema for multi-tenant SaaS involves implementing UUID primary keys, audit columns, and foreign-key constraints. You can apply shared-schema Row Level Security (RLS), separate schemas, or isolated databases to ensure data isolation and compliance.

The best way to perform zero-downtime database migrations is using structured recipes for column additions and renaming workflows. This approach prevents lock contention and data loss, ensuring continuous application availability while evolving your schema safely.

To set up soft deletes and audit logging in a relational database, integrate dedicated audit columns and soft-delete flags into every table. This framework maintains historical records and supports compliance without permanently erasing data.

Yes, this database schema design approach works with Prisma and Drizzle ORM. It provides specific schema examples and query-optimization best practices to ensure your ORM mappings align with UUID keys, constraints, and indexing strategies.

You need separate schemas or isolated databases for multi-tenancy when strict data isolation is required, whereas shared-schema RLS is suitable for cost-effective tenant separation within a single PostgreSQL database instance.

Using UUID primary keys instead of sequential integers for scalable apps prevents enumeration attacks and eliminates database contention during concurrent inserts. This approach is essential for distributed systems and secure, maintainable data models.