Understanding Data Model, Data Dictionary, Database Schema, and ER Diagram: Definitions and Comparisons
This article explains the concepts of data model, data dictionary, database schema, and ER diagram, clarifies their differences, and compares them across stages, purposes, detail levels, authors, users, tools, and forms to help readers grasp database design terminology.
All these database design terms can be confusing. In this short article I will try to explain what they are and how they differ.
Data Model : An abstract model that organizes data elements and their relationships, independent of any implementation. It can be represented by entity‑relationship diagrams, UML class diagrams, etc.
Data Dictionary : A reference and description for each data element, providing a detailed definition and documentation of the data model. It has two abstraction levels: logical and physical.
Database Schema : The physical implementation of a data model in a specific DBMS, including all implementation details such as data types, constraints, foreign keys, and primary keys.
Entity‑Relationship Diagram (ERD) : A graphical representation of the data model/schema in a relational database, used as a modeling and documentation tool.
Comparison
Stage
Data Model: Conceptual system modeling
Database Schema: System implementation
Data Dictionary (Logical): Detailed system design documentation
Data Dictionary (Physical): System implementation documentation
Conceptual system modeling, documentation
Purpose
Data Model: Data design
Database Schema: Database implementation
Data Dictionary (Logical): Define each data attribute in the model – supplement to the data model
Data Dictionary (Physical): Design and document each data attribute in the database schema
Communication data model in relational databases
Detail Level
Data Model: Mid‑level objects/entities and attributes
Database Schema: Highly detailed definition of each data item and relationship
Data Dictionary (Logical): Highly defined each key table and data attribute
Data Dictionary (Physical): Very high‑level definition of each table and column
Low or medium‑level entities and attributes
Author
Data Model: Data/system architects, business analysts
Database Schema: Data/system architects, DBAs
Data Dictionary (Logical): Data/system architects, business analysts
Data Dictionary (Physical): Data/system architects, DBAs
ERD: Data architects, DBAs
User
Data Model: Business analysts, business users, data/system architects
Database Schema: Developers, DBAs
Data Dictionary (Logical): Business analysts, business users, data/system architects
Data Dictionary (Physical): Data/system architects, DBAs, developers, testers, system administrators
ERD: Business analysts, business users, data/system architects, DBAs, developers
Tool
Data Model: Case studies, diagram tools
Database Schema: Database development and management tools
Data Dictionary (Logical): Word/Excel
Data Dictionary (Physical): Word/Excel, extended attributes/comments, data‑dictionary tools
ERD: Case studies, diagram tools
Form
Data Model: Graphical UML class diagram
Database Schema: Structure in a DBMS – tables, columns, foreign keys, etc.
Data Dictionary (Logical): Metadata tables
Data Dictionary (Physical): Metadata tables
ERD: Charts
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