Sure, let's break down the differences between these four types of databases:

1. Hierarchical Database:
This type of database model organizes data in a tree-like structure. It uses a parent-child relationship where each parent can have multiple children but each child has only one parent. This model is efficient for one-to-many relationships but not for many-to-many.

Diagram:
```
Parent
/ \
Child1 Child2
```

2. Network Database:
This model is an extension of the hierarchical model. In the network model, each child can have multiple parents, which solves the problem of the hierarchical model. It allows many-to-many relationships.

Diagram:
```
Parent1
/ \
Child1--Child2
\ /
Parent2
```

3. Relational Database:
This model organizes data into tables (or relations) of rows and columns, with a unique key identifying each row. Rows in different tables can be linked based on these keys. It's the most widely used as it allows for data independence, efficient data access, and reduced data redundancy.

Diagram:
```
Table1
| ID | Name |
|----|------|
| 1 | A |
| 2 | B |

Table2
| ID | Age |
|----|-----|
| 1 | 20 |
| 2 | 30 |
```

4. Object-Oriented Database:
This model represents data as objects, similar to object-oriented programming. Data is stored as objects, classes, and inheritance is used in database schemas and query language. It's useful when the relationships among data items are complex.

Diagram:
```
Class1
| Attribute | Method |
|-----------|--------|
| Name | GetName|

Class2 : Class1 (Inherits Class1)
| Attribute | Method |
|-----------|--------|
| Age | GetAge |
```

Each of these models has its own strengths and weaknesses, and the choice between them depends on the specific requirements of your database.

Question

Sure, let's break down the differences between these four types of databases:

1. Hierarchical Database: 
This type of database model organizes data in a tree-like structure. It uses a parent-child relationship where each parent can have multiple children but each child has only one parent. This model is efficient for one-to-many relationships but not for many-to-many.

Diagram:
```
    Parent
    /    \
Child1  Child2
```

2. Network Database:
This model is an extension of the hierarchical model. In the network model, each child can have multiple parents, which solves the problem of the hierarchical model. It allows many-to-many relationships.

Diagram:
```
    Parent1
    /     \
Child1--Child2
    \     /
    Parent2
```

3. Relational Database:
This model organizes data into tables (or relations) of rows and columns, with a unique key identifying each row. Rows in different tables can be linked based on these keys. It's the most widely used as it allows for data independence, efficient data access, and reduced data redundancy.

Diagram:
```
Table1
| ID | Name |
|----|------|
| 1  | A    |
| 2  | B    |

Table2
| ID | Age |
|----|-----|
| 1  | 20  |
| 2  | 30  |
```

4. Object-Oriented Database:
This model represents data as objects, similar to object-oriented programming. Data is stored as objects, classes, and inheritance is used in database schemas and query language. It's useful when the relationships among data items are complex.

Diagram:
```
Class1
| Attribute | Method |
|-----------|--------|
| Name      | GetName|

Class2 : Class1 (Inherits Class1)
| Attribute | Method |
|-----------|--------|
| Age       | GetAge |
```

Each of these models has its own strengths and weaknesses, and the choice between them depends on the specific requirements of your database.

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