Database Management System and its Types
Tags: database, sql, beginners, tutorial
Published: 2023-02-05 04:30:11

**DBMS (Database Management System)** is a software system that is designed to manage, store, and retrieve large amounts of data in an organized and efficient manner. It provides users with the ability to create, modify, and delete data in a database, as well as to run queries to retrieve data based on specific criteria.

There are several types of DBMSs, including:

**1.Relational Database Management System (RDBMS):** This is the most common type of DBMS. It stores data in a series of tables, with each table consisting of rows and columns. Relationships between tables are established using keys, allowing data from multiple tables to be combined and retrieved in a single query. Example: MySQL, Oracle, Microsoft SQL Server, etc.


**2. Object-Oriented Database Management System (OODBMS):** This type of DBMS uses objects and classes to represent data, rather than tables and columns. It is often used in applications where complex data relationships and hierarchical structures are required. Example: MongoDB, Cassandra, etc.

**3. Hierarchical Database Management System (HDBMS):** This type of DBMS stores data in a tree-like structure, with each node representing a record and each branch representing a relationship between records. It is best suited for applications that require a large number of relationships between data items. Example: IBM's Information Management System (IMS).

**4. Network Database Management System (NDBMS):**This type of DBMS stores data in a network structure, where records can be related to multiple other records. It is best suited for applications that require complex data relationships. Example: Integrated Data Store (IDS).

**5. Document Database Management System (DDMS):** This type of DBMS stores data as documents, rather than tables and columns. It is often used in applications that require flexible and unstructured data storage, such as content management systems and e-commerce websites. Example: CouchDB, Amazon's SimpleDB.

**6. Key-value databases:** These databases store data as a collection of keys and values, where each key is associated with a specific value. Key-value databases are simple to use and are well-suited for applications that require fast access to large amounts of data. Examples of key-value databases include Redis and Riak.

**7. Column-oriented databases:** These databases store data in columns, rather than rows. This approach is well-suited for applications that require fast access to large amounts of data for analysis, as it allows for efficient compression and indexing. Examples of column-oriented databases include Apache Cassandra and Google Bigtable.

**8. Graph databases:** These databases store data in a graph structure, with nodes and edges representing entities and relationships, respectively. Graph databases are well-suited for applications that require complex and dynamic data relationships, such as social networks and recommendation systems. Examples of graph databases include Neo4j and Amazon Neptune.

**9. Time-series databases:**These databases are optimized for storing and querying time-stamped data, such as metrics and logs. They are well-suited for applications that require fast access to time-based data for analysis and visualization. Examples of time-series databases include InfluxDB and TimescaleDB.

In conclusion, the type of DBMS you choose will depend on the specific requirements of your application, including the structure of the data you are working with, the complexity of your data relationships, and the volume of data you need to store and manage.