What are different types of database management system in managing database?

1. Relational Database Management System (RDBMS): This type of DBMS organizes data into tables with rows and columns, and uses structured query language (SQL) for querying and managing data.

2. NoSQL Database Management System: NoSQL databases are designed to handle large volumes of unstructured or semi-structured data. They do not use the traditional tabular structure of RDBMS and can be more flexible and scalable.

3. Object-Oriented Database Management System (OODBMS): OODBMS stores data in the form of objects, which can contain both data and methods. This type of DBMS is useful for applications that require complex data structures.

4. Distributed Database Management System: Distributed DBMS manages data across multiple locations or servers, allowing for better scalability and fault tolerance.

5. Hierarchical Database Management System: In this type of DBMS, data is organized in a tree-like structure with parent-child relationships. This model is useful for representing data with a natural hierarchical structure.

6. Network Database Management System: Network DBMS allows for more complex relationships between data entities than hierarchical DBMS, by allowing each record to have multiple parent and child records.

7. Object-Relational Database Management System (ORDBMS): ORDBMS combines the features of both relational and object-oriented databases, allowing for complex data types and relationships.

8. In-memory Database Management System: In-memory DBMS stores data in the main memory of the computer, rather than on disk, allowing for faster access and processing of data.

9. Time Series Database Management System: Time series DBMS is optimized for storing and querying time-stamped data, such as sensor data or financial market data.

10. Graph Database Management System: Graph DBMS is designed to store and query data with complex relationships, such as social networks or recommendation systems.

1. Hierarchical Database Management System (HDBMS)

- Organizes data in a tree-like structure, where each node represents a record and branches represent relationships.
- Allows one-to-many relationships only.
- Examples: IMS, IDMS

2. Network Database Management System (NDBMS)

- Also uses a network-like structure to organize data.
- Allows many-to-many relationships.
- Examples: CODASYL, DBTG

3. Relational Database Management System (RDBMS)

- Stores data in tables with columns and rows.
- Supports structured query language (SQL) for data manipulation and retrieval.
- Maintains data integrity using concepts like primary keys, foreign keys, and constraints.
- Examples: MySQL, Oracle, PostgreSQL, Microsoft SQL Server

4. Object-Oriented Database Management System (OODBMS)

- Represents data as objects, which can encapsulate both data and behavior.
- Supports inheritance, polymorphism, and encapsulation.
- Examples: GemStone, Versant, ObjectStore

5. NoSQL Database Management System (Not Only SQL)

- A category of databases that handle large, unstructured, or semi-structured datasets.
- Includes different data models, such as:
- Key-Value Stores: Store data as key-value pairs. (e.g., Redis, DynamoDB)
- Document Databases: Store data as JSON or XML documents. (e.g., MongoDB, CouchDB)
- Columnar Databases: Store data in columns rather than rows. (e.g., HBase, Cassandra)
- Graph Databases: Represent data as nodes and relationships. (e.g., Neo4j, JanusGraph)

6. Cloud Database Management System

- Database systems hosted and managed in the cloud, providing:
- Scalability and elasticity
- Reduced infrastructure costs
- Improved reliability and availability
- Examples: Amazon RDS, Azure SQL Database, Google Cloud SQL