There are four types of database:
- Hierarchical databases (DBMS)
- Relational databases (RDBMS)
- Network databases (IDMS)
Object-oriented databases RDBMS is one of the most often used databases due to its easy accessibility and supports regarding complex queries.
There are several types of database management systems (DBMS), each designed for specific purposes. The main types of DBMS are:
- Relational Database Management System (RDBMS): This type of DBMS organizes data into tables with rows and columns, and it uses a structured query language (SQL) for managing and manipulating the data. Examples include MySQL, PostgreSQL, Oracle Database, and Microsoft SQL Server.
- NoSQL Database Management System: These databases are designed to handle unstructured or semi-structured data. They do not rely on a fixed schema and can handle a variety of data types. Examples include MongoDB, Cassandra, CouchDB, and Redis.
- Object-Oriented Database Management System (OODBMS): These databases store data in the form of objects, which are instances of classes, similar to object-oriented programming concepts. Examples include db4o and ObjectDB.
- Graph Database Management System: This type of DBMS is designed to store and manage data in the form of graphs, where nodes represent entities and edges represent relationships between entities. Examples include Neo4j and Amazon Neptune.
- Document Store Database Management System: Document-oriented databases store data in a semi-structured format, typically using JSON or XML documents. Examples include MongoDB and CouchDB.
- Columnar Database Management System: These databases store data in columns rather than rows, which can provide better performance for certain types of queries, especially analytics. Examples include Apache Cassandra and Amazon Redshift.
- Time-Series Database Management System: This type is optimized for handling time-series data, such as data generated over time. Examples include InfluxDB and Prometheus.
- NewSQL Database Management System: This is a category of modern relational databases that aim to provide the scalability and flexibility of NoSQL databases while maintaining the ACID properties of traditional relational databases. Examples include Google Spanner and CockroachDB.
The choice of a particular type of DBMS depends on the specific requirements of the application and the nature of the data being managed.