There are many different types of database management systems, such as object-oriented databases, relational databases, network databases, hierarchical databases, and so on.
A software application called a database management system enables you to construct and manage databases. Based on how they manage the database structure, there are several types of database systems.
Types Of Database Management System
The following are six popular types of database management systems:
Network Databases
Network database management systems use a network structure to connect things. Network databases are mostly utilized on large digital computers. Network databases are hierarchical databases, but unlike hierarchical databases, in which a node may only have one parent, a network node can have several relationships. In network databases, children are referred to as “members” and parents as “occupiers.” A network database looks like a web of interconnected records.
Hierarchical Databases
A hierarchical database contains both actual data and details about the parent-child linkage group. The creation of high-performance open financial and telecommunications systems frequently uses hierarchical databases.
Since a hierarchical database is organized as a tree in this model framework and the connections between entries are predefined, it is easy to access and alter. The information is recorded as a set of fields, each holding a single value. The records are linked together via parent-child connections. Each child record in a hierarchical database model has a single parent. A parent could have multiple kids.
Relational Databases
The link between data in a relational database management system is relational, and data is kept in tabular form as columns and rows. A table’s rows and columns each stand for a record or property, respectively. A data value is represented by each field in a table. Relational databases operate on tables with key fields that uniquely identify each entry in the table. One table of data can be linked to another using these key fields.
Object-Oriented Databases
The Object-Oriented Model enables full-featured database development while preserving native language compatibility. It gives object-oriented programming languages access to databases. This method is comparable to creating databases and apps in a consistent language and data model environment. Applications are easier to maintain, need less code, and employ more natural data modeling. Complete database applications may be created by object developers with more work.
The integrity of consistent systems and object-oriented programming language systems is the source of object-oriented databases. The strength of object-oriented databases emerges from the cyclical handling of both transitory data, such as that found in running programs, and consistent data, such as that found in databases.
NoSQL Databases
A NoSQL, often known as a non-relational database or non-SQL, offers a method for data storage and recovery. The table connections in reference databases are not the foundation upon which this data is built. Big data and real-time web apps employ NoSQL databases, and these applications are growing with time.
NoSQL databases are ideal for quickly changing development environments since they lack preset schemas. It enables developers to make quick adjustments without disrupting running programs.
Graph Databases
Graph databases are NoSQL databases that employ a graph structure for semantic queries. Data is stored as nodes, edges, and attributes. A node in a graph database represents an object or instance, such as a client, a person, or a vehicle. A node in a relational database system is comparable to a record. In a graph database, an edge denotes a connection between nodes. Properties are extra details that are added to the nodes.