What are the types of Database Management Systems (DBMS)?

Database Management Systems (DBMS)
Database Management Systems (DBMS)

It is important to understand the differences between Database Management Systems (DBMS) types, since the structure of each type will influence integrations approaches, functionality, overall speed, and scalability.

The Five Types of Database Management Systems (DBMS)?

The five basic types of databases are:

  • Hierarchical
  • Object-Orientated
  • Network
  • Relational
  • Flat File

Hierarchical Database (HDB)

  • A hierarchical database (HDB or HDBMS)is a design that uses a one-to-many relationship for data elements. Hierarchical database models use a tree structure that links several disparate elements to one “owner,” or “parent,” primary record.

Object-Oriented Database (OODB)

  • Object-Orientated databases (OODB or OODBM) integrate object orientation with database capabilities. Object orientation allows a more direct representation and modeling of real-world problems, and database functionality is needed to ensure persistence and concurrent sharing of information in applications.

Network Database (NDB)

  • Network databases (NDB or NDBMS) are quite like hierarchical databases, except it allows multiple records to be linked to the same owner file. The model can be seen as an upside down tree where the branches are the member information linked to the owner, which is the bottom of the tree. The multiple linkages which this information allows the network database model to be very flexible. In addition, the relationship that the information has in the network database model is defined as many-to-many relationship because one owner file can be linked to many member files and vice versa.

Relational Database (RDB)

  • In simplest terms, a relational database (RDB or RDBMS)is one that presents information in formally described tables with rows and columns. A table is referred to as a relation in the sense that it is a collection of objects of the same type (rows). Data in a table can be related per common keys or concepts, and the ability to retrieve related data from a table, which is the basis for the term relational database. Data can be accessed or reassembled in many ways without having to reorganize the database tables structure.

Flat File Database (FFDB)

  •  A flat file database (FFDB or FFDBM) describes any of various means to encode a database model as a single file or collection of files, which can be a plain text file or a binary file. There are usually no structural relationships between the records. Each line of the text file holds one record, with fields separated by delimiters, such as commas or tabs. This is a very old database approach, but can still be found in use to, often with some relation capability enhancements,.  Some example of current flat file databases are: GRAV, Jekyll, Kerby, and Monstra.

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