Hierarchical databases are among the most ancient types of databases. Records in this category are arranged in a tree structure, which makes it easy to find them. Each level of records is composed of a number of smaller categories that are interconnected.
Database on the network
Network databases are also among the most established types of databases. While network databases do not provide unique connections between distinct datasets at various levels, they do establish numerous links between sets by inserting links (or pointers) on one set of records or another. A large number of businesses, as well as the e-commerce industry, have taken use of the speed and flexibility of network databases. Choosing the SAP system Malaysia is the best deal there.
Text-oriented relational database
A text-oriented database, also known as a flat file database, is a database that is stored in the form of a file (a table) in the.txt or.ini format. A flat file is a text file, or a file that mixes text with a binary file, and it is used to store information. In most cases, each entry in these databases contains just one record. The majority of personal computer databases are text-oriented databases.
SQL database is an abbreviation for Structured Query Language (relational)
The first relational database was created in 1970 by EF Codd, an IBM employee. The data is described in these tabular papers in order to be easily accessible and to be able to be rearranged in a variety of formats.
Relational databases are made up of a collection of tables that are linked together. The information included within these tables is organized into categories. Each table has at least one column that corresponds to a certain category. Each column includes a certain quantity of information pertaining to the category represented by that column.
The Structured Query Language (SQL) is the standard application programming interface (API) for relational databases. In addition, relational databases are readily extensible, and new categories of data may be added to an existing database once it has been created without the need to change any already running applications.
A distributed database is a database that is accessible from many locations
A distributed database is a database in which parts of it are kept in several physical places, which is known as redundancy. Processing is spread or duplicated over many nodes in a network to maximize efficiency.
Distributed databases may be either homogenous or heterogeneous in their structure and content. In the case of a homogeneous distributed database system, all physical sites are equipped with the same hardware and operate on the same operating system as well as the same database applications as the central database. When using a heterogeneous distributed database, on the other hand, various physical sites may have a diverse set of hardware, operating systems, and database software.
Cloud-based data storage
In this context, it is either optimized for virtualized settings or is developed specifically for virtualized contexts. Private clouds, public clouds, and hybrid clouds are all possible configurations for a cloud.
SQL-free database NoSQL
In the case of huge dispersed datasets, NoSQL databases are very helpful. This is due to the fact that relational databases were not intended to handle huge amounts of data, and data sets that are too massive may result in performance problems.