data-modeling

You can unify data schema validation and database attribute derivation by designing and registering declarative Malli schemas. This approach handles runtime validation, auto-derives database attributes, and supports generative testing simultaneously.

Attribute-centric data modeling defines flexible, attribute-based connections rather than rigid entity types. You should use it to support complex domain relationships without requiring constant database migrations.

Yes, you can auto-generate test data from Malli schemas. The data modeling process automatically derives test.check generators from your registered schema to ensure data integrity and contract compliance.

Yes, this data modeling approach applies to schema-driven database design for Datomic and Datahike. It auto-derives database attributes from unified Malli schemas to enforce type-safe data structures.

The best way to define type-safe data structures and contract specifications is by registering declarative schemas once. This single act unifies validation, database attribute derivation, and generative testing.

Use Malli for schema-driven database design to solve the fragmentation between data modeling, validation, and storage. It moves away from rigid entity types toward flexible, attribute-based connections that support complex relationships without migrations.