Databases 6 min read

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.

Architects Research Society
Architects Research Society
Architects Research Society
Understanding Data Model, Data Dictionary, Database Schema, and ER Diagram: Definitions and Comparisons

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

data modelingDatabase Designdatabase schemaData DictionaryER diagram
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