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Data Model Documentation Template - Free Download & Example

Download our free data model documentation template. Includes ER diagrams, schema definitions, relationships and indexing strategies. Ready to use for database architects.

A data model documentation template helps capture the structure, relationships and rules governing your application data. This template provides a framework for documenting entities, attributes, primary and foreign keys, indexes and constraints. It includes sections for describing data sources, migration paths and query patterns essential for performance. Thoroughly documenting your data model makes it easier for new team members to understand the application and prevents data integrity issues during future changes.

Variations

Relational Schema

Template for relational databases focusing on table definitions, columns, data types, primary and foreign keys, unique constraints and indexes. Includes ER diagram notation and normalization guidelines.

Best for: Use this for PostgreSQL, MySQL or SQL Server projects where data integrity and transactional consistency are the primary requirements.

Document Model

Template for document databases such as MongoDB or Firestore. Covers collection definitions, embedded vs referenced document patterns, sharding keys and aggregation pipeline documentation.

Best for: Ideal for applications with flexible schemas, nested data structures or when horizontal scalability via sharding is required.

Graph Data Model

Template for graph databases such as Neo4j. Covers node labels, relationship types, properties, Cypher query patterns and traversal strategies for complex relationship networks.

Best for: Perfect for applications with rich, highly connected data such as social networks, knowledge graphs or fraud detection systems.

How to use

Step 1: Download the data model template and identify all domain entities your application requires based on functional requirements. Step 2: Define the attributes for each entity including data type, nullable constraints, default values and validation rules. Step 3: Map the relationships between entities (one-to-one, one-to-many, many-to-many) and document foreign keys and cascade rules. Step 4: Draw an ER diagram that visually represents the complete data model with cardinality notation. Step 5: Define indexes based on your most common query patterns, considering the trade-off between read performance and write overhead. Step 6: Document any computed columns, views or materialized views used for reporting or performance optimization. Step 7: Describe the migration strategy including version numbering, rollback plans and data seeding. Step 8: Review the model with the team and validate it against the most critical use cases.

Further reading

TemplatesDatabase Design Template - Free Download & ExampleTechnical Decision Record (ADR) Template - Free Download & ExampleData Model Design Examples - Database ArchitectureWhat is Database Design? - Definition & Meaning

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Frequently asked questions

Choose a relational model when data integrity, transactions and complex queries are essential. Choose a document model when you need flexible schemas, fast iteration and horizontal scalability. Many modern applications use a hybrid approach with polyglot persistence.
Third normal form (3NF) is a good standard for most applications. Only denormalize when performance measurements show it is necessary, and document every denormalization decision with an ADR.
Use database migration files with sequence numbers stored in your version control. Each migration file contains the change and a rollback script. Tools like Flyway, Liquibase or Prisma Migrate automate this process.

How do you choose between a relational and document data model?

Choose a relational model when data integrity, transactions and complex queries are essential. Choose a document model when you need flexible schemas, fast iteration and horizontal scalability. Many modern applications use a hybrid approach with polyglot persistence.

To what normalization level should you go?

Third normal form (3NF) is a good standard for most applications. Only denormalize when performance measurements show it is necessary, and document every denormalization decision with an ADR.

How do you document schema changes over time?

Use database migration files with sequence numbers stored in your version control. Each migration file contains the change and a rollback script. Tools like Flyway, Liquibase or Prisma Migrate automate this process.

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