MariaDB Database Documentation refers to the structured explanation of a MariaDB database’s schema, tables, columns, constraints, relationships, indexes, stored logic, and data flow. This includes entity-relationship details, foreign key paths, table purposes, data types, triggers, stored procedures, views, and operational behavior.

Popular frameworks, tools, and technologies for documenting MariaDB databases include:
Schema & Documentation Generators: SchemaSpy, DbSchema, Dataedo, DBeaver Docs, MySQL Workbench (MariaDB compatible), dbdocs.io.
ER Diagram & Modeling Tools: Draw.io, Lucidchart, ERDPlus, TablePlus, JetBrains DataGrip.
Linting, Validation & Analysis Utilities: MariaDB Information Schema tools, SQLFluff, MySQLShell utilities, SchemaCrawler.
ORM & Framework Auto-Docs: Laravel Eloquent, Django ORM, SQLAlchemy, Hibernate, Sequelize, TypeORM.
API & Integration Documentation: Swagger/OpenAPI for DB-backed API structures, Postman Collections for documenting query-based workflows.
Publishing & Collaboration: Confluence, GitHub Pages, Read the Docs (for mixed code + database docs), Notion technical documentation spaces.

Popular use cases include:
Schema Documentation: Document tables, columns, data types, primary keys, foreign keys, indexes, constraints, and table-level descriptions.
ER Diagram Generation: Produce entity-relationship diagrams to visualize joins, relationships, bridge tables, and cardinality across the database.
Stored Logic Documentation: Explain stored procedures, triggers, functions, events, and how they interact with underlying tables.
API & Integration Understanding: Map how backend services, ORMs, GraphQL layers, or REST APIs interact with MariaDB tables and queries.
Data Flow Documentation: Show how data moves between tables (e.g., order → order_items → payments), or across microservices using multiple MariaDB instances.
Performance & Index Documentation: Document indexing strategies, usage patterns, and query performance considerations for optimization.
Refactoring & Migration Support: Document schema changes for safe refactoring, MySQL-to-MariaDB migrations, or versioned database updates.
Onboarding & Knowledge Sharing: Provide clear, structured documentation so new developers understand database architecture without reverse-engineering SQL.
Risk & Integrity Documentation: Highlight nullable critical fields, mismatched data types, denormalized structures, or missing constraints.
Version-Controlled Documentation: Maintain documentation across branches or releases for teams using Git-based workflows or frequent schema updates.

Workik AI supports a wide range of MariaDB documentation workflows, including:
Schema Interpretation: Automatically read your MariaDB schema (via upload or DB connection) and generate structured documentation of tables, columns, constraints, and relationships.
ERD & Relationship Mapping: Generate ER diagrams, identify foreign key paths, detect join tables, and map many-to-many relationships with clarity.
Stored Logic Analysis: Document triggers, stored procedures, events, and functions with AI-generated explanations of execution flow and table dependencies.
Table Role Classification: Identify reference tables, transactional tables, junction tables, logs, and historization tables for clearer domain understanding.
Performance Context Documentation: Highlight index usage, potential full-table scans, and schema areas that may affect query performance or scalability.
Data Integrity & Constraint Insight: Flag nullable critical fields, mismatched data types, missing relationships, and weak constraint structures.
Refactoring & Migration Intelligence: Generate documentation to assist with schema consolidation, normalization/denormalization, or service extraction in microservice migrations.
Cross-Service Schema Documentation: Document multiple MariaDB databases in distributed applications and map interactions or shared dependencies.
Test Planning & Validation Notes: Produce example scenarios, key relationship notes, and structural behaviors that assist testing teams during integration or API validation.
Version-Specific Documentation: Maintain versioned database documentation across branches or releases and track schema evolution using uploaded migration snapshots.