Type of Database Management System
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This document discusses different types of databases: hierarchical, entity-relationship, relational, object-oriented, and network. Hierarchical databases organize data in a tree structure and were the first model created by IBM in 1960. Entity-relationship databases were developed in 1976 and represent things of interest through entities and relationships. Relational databases were first described by Edgar Codd in 1969 and manage data using a structure consistent with predicate logic. Object-oriented databases store information as objects and are used for multimedia or CAD. Network databases form a flexible graph structure and allowed multiple parent-child relationships but became obsolete due to relational databases.
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Type of Database Management System
- 1. 1 Deep and pointwise information about database users BY Param Radadiya
- 2. Param Source : Internet 2 Q1. Type of Database. Ans. There are many type of Database in real world depending upon the usage, But mostly we uses few of them which are describe as below. Databases Object-oriented Database Relational Database Network Database Hierarchical Database Entity- Relationship Database Now, let’s talk about all these Databases and get some related details and know the usage.
- 3. Param Source : Internet 3 o Hierarchical Database: • This data model is recognized as the first database model which was created by IBM in 1960. • In this type of Data model, data are organized into Tree-like structure. This structure is simple but inflexible because the relationship is confined to a one-to-many relationship. • A record is a collection data, and these type of records stored in this data model which are connected through Links. • In this data model, each parent record can have one or more child records, but each child record has only one parent record. • Currently hierarchical databases are still widely used especially in applications that require very high performance and availability such as banking and telecommunications. • Example of Hierarchical Data model show as below chart.
- 4. Param Source : Internet 4 o Entity-Relationship Database: • Entity-Relationship was developed and design by Peter Chen in 1976. • Basically, ER model is composed of entity types and specifies relationship that can exist between entities. And it’s describes interrelated things of interest in a specific domain of knowledge. • ER database model is commonly use to represent things of business needs to remember in order to perform business processes. • Entities and relationships can both have attributes. Examples: an employee entity might have a Social Security Number attribute, while a proved relationship may have a date attribute. • Every entity must have a minimal set of uniquely identifying attributes, which is called the entity's primary key. • Example of ER model.
- 5. Param Source : Internet 5 o Relational Database: • Relational data model first described by Edgar Codd in 1969. • It’s also called as RDBMS. • This model is use to managing data using structure and language consistent with first-order predicate logic. • The purpose of the relational data model is to managing system software take care of describing data structures for storing the data and retrieval procedures for answering queries. • Example of Relational data model is show as below diagram.
- 6. Param Source : Internet 6 o Object-oriented Database: • This data model was considered in the 1980. • It’s also called as ODBMS. • In this data model information is represented in the form of objects as used in object-oriented programming. • ODBMS is used in those companies that are geared towards multimedia presentation or organizations that utilize computer- aided design (CAD). • Example :
- 7. Param Source : Internet 7 o Network Database: • Sometimes this data model is known as CODASYL model because this model was adopted by the CODASYL Data Base Task Group in 1969. • This model is conceived as a flexible way of representing object and their relationships. • The network model allows each record to have multiple parent and child records, forming a generalized graph structure. • Network and Hierarchal databases were persuasive for many large- scale applications, but as hardware became faster, the extra productivity and flexibility of the relational model led to the gradual obsolescence of the network model in corporate enterprise usage. • Example :