🗄️ Database Models
Interactive learning module — Definition • Working • Advantages • Disadvantages • Uses
What is a Database Model?
A database model is a logical structure that describes how data is stored, organized, connected, and accessed inside a database.
👉 Click any button below to explore the database model.
A database model is a logical structure that describes how data is stored, organized, connected, and accessed inside a database.
👉 Click any button below to explore the database model.
🌳 Hierarchical Database Model
Definition:
The hierarchical model organizes data in a
tree-like structure consisting of parent and child
records.
University
→
Department
→
Student
⚙️ How It Works
Data starts from a root node.
The root can have multiple child nodes, but each child generally has one parent.
Example:
University → Computer Science → Student
The root can have multiple child nodes, but each child generally has one parent.
Example:
University → Computer Science → Student
✅ Advantages
- Simple tree structure.
- Fast navigation for hierarchical data.
- Easy to understand.
- Good performance for predefined relationships.
❌ Disadvantages
- Many-to-many relationships are difficult.
- Data duplication can occur.
- Structural changes can be difficult.
- Less flexible than relational databases.
🎯 Uses
- File systems
- Organization structures
- XML data
- Directory systems
🕸️ Network Database Model
Definition:
The Network Model represents data as a collection of records
connected through relationships.
Unlike the hierarchical model, a record can have
multiple parent records.
Student
↔
Course
↔
Teacher
⚙️ How It Works
Records are connected through links.
A student can take multiple courses and a course can contain multiple students.
This supports many-to-many relationships.
A student can take multiple courses and a course can contain multiple students.
This supports many-to-many relationships.
✅ Advantages
- Supports complex relationships.
- Efficient navigation.
- Supports many-to-many relationships.
- Less duplication in some structures.
❌ Disadvantages
- Complex database design.
- Difficult for beginners.
- Structural changes can be difficult.
- Less commonly used today.
🎯 Uses
- Telecommunication systems
- Manufacturing systems
- Complex legacy systems
- Systems with interconnected records
📊 Relational Database Model
Definition:
The relational model stores data in
tables consisting of rows and columns.
It is one of the most widely used database models.
| Student_ID | Name | Course |
|---|---|---|
| 101 | Rahul | BCA |
| 102 | Anita | BCA |
⚙️ How It Works
Each table represents an entity.
Rows represent records.
Columns represent attributes.
Tables can be connected using Primary Keys and Foreign Keys.
Rows represent records.
Columns represent attributes.
Tables can be connected using Primary Keys and Foreign Keys.
✅ Advantages
- Easy to understand.
- Uses SQL.
- Strong data integrity.
- Supports relationships between tables.
- Excellent for structured data.
❌ Disadvantages
- Complex joins can become expensive.
- Schema changes may require planning.
- Horizontal scaling can be more difficult.
- Not ideal for every type of unstructured data.
🎯 Uses
- Banking systems
- College management systems
- Hospital databases
- Payroll systems
- Online shopping systems
🧩 Object-Oriented Database Model
Definition:
The Object-Oriented model stores information as
objects, similar to objects used in
object-oriented programming.
Student Object
Name
Roll
Course
Name
Roll
Course
→
Methods
getName()
getCourse()
getName()
getCourse()
⚙️ How It Works
Data and operations can be grouped together inside objects.
Objects can support concepts such as:
Objects can support concepts such as:
- Encapsulation
- Inheritance
- Polymorphism
✅ Advantages
- Works naturally with OOP languages.
- Supports complex objects.
- Supports inheritance.
- Useful for multimedia and engineering applications.
❌ Disadvantages
- More complex than relational databases.
- Less widely adopted.
- May require specialized knowledge.
🎯 Uses
- CAD/CAM systems
- Multimedia applications
- Engineering systems
- Scientific applications
🔗 Object-Relational Database Model
Definition:
The Object-Relational model combines the traditional
relational model with selected
object-oriented features.
Relational Tables
+
Objects
→
Object-Relational DB
⚙️ How It Works
The database continues to use tables and SQL but can also support
more complex data types and object-like structures.
✅ Advantages
- Combines relational and object features.
- Supports complex data types.
- Can retain SQL capabilities.
- Useful for complex applications.
❌ Disadvantages
- More complex than a basic relational model.
- Requires understanding of additional concepts.
- Implementation can vary between systems.
🎯 Uses
- Geographical information systems
- Engineering databases
- Scientific applications
- Complex business applications
⚡ NoSQL Database Model
Definition:
NoSQL databases provide flexible approaches for storing data that
does not necessarily fit the traditional relational table model.
Application
→
NoSQL Database
→
Flexible Data
⚙️ Major Types
1. Document Database
Stores JSON-like documents.
2. Key-Value Database
Stores data as key-value pairs.
3. Column-Family Database
Stores data in column-oriented structures.
4. Graph Database
Stores entities and their relationships as nodes and edges.
Stores JSON-like documents.
2. Key-Value Database
Stores data as key-value pairs.
3. Column-Family Database
Stores data in column-oriented structures.
4. Graph Database
Stores entities and their relationships as nodes and edges.
✅ Advantages
- Flexible schema.
- Suitable for large-scale applications.
- Can support horizontal scaling.
- Useful for rapidly changing data.
- Good for many distributed applications.
❌ Disadvantages
- Different NoSQL systems have different data models.
- Some systems provide fewer traditional relational features.
- Data consistency approaches vary.
- Migration between different systems may be difficult.
🎯 Uses
- Big Data applications
- Real-time applications
- Social media platforms
- IoT applications
- Content management
📚 Quick Comparison
| Model | Structure | Best For |
|---|---|---|
| Hierarchical | Tree | Parent-child data |
| Network | Graph-like records | Complex relationships |
| Relational | Tables | Structured data |
| Object-Oriented | Objects | Complex objects |
| Object-Relational | Tables + Objects | Complex structured data |
| NoSQL | Document/Key-Value/Graph/etc. | Flexible and distributed data |
No comments:
Post a Comment