Get to Know The 6 Types of Database That are Commonly Used

There are several types of database that are commonly used, including Operational Database, Analytical Database, Data Warehouse, Relational Database, Distributed Database, and End-user Database. In the world of information technology, databases are one of the important aspects that must be considered. Databases are used to store data and information in a structured manner, making it easier for decision-making and data analysis.

Types of Database Commonly Used by Companies

As mentioned above, the use of databases is very important. One of the key considerations is the selection of database types that align with the needs and objectives of their use. Here are the types of database that can be chosen:

Operational Database

An Operational Database is a type of database commonly used for the operational needs of an organization or company. This database stores data in real-time, facilitating quick and accurate decision-making. This type of database is very suitable for high-volume data such as inventory or sales. An example of using an Operational Database is to store company transaction data, such as sales data, purchase data, or stock data.

Analytical Database

An Analytical Database is a type of database used for data analysis purposes. This database stores historical data and is static in nature, making it easier for long-term data analysis. This type of database is suitable for supporting decision-making. An example of using an Analytical Database is to create financial reports or analyze business trends.

Data Warehouse

A Data Warehouse is a type of database used to store data from various different sources in a structured format. Data warehouses are often used to manage historical data rather than real-time data. This database is used for data analysis and reporting purposes. A Data Warehouse can also combine data from various systems, such as data from sales systems, human resources, or accounting systems. In its implementation, a Data Warehouse is often likened to Big Data. However, the two have differences; see the Differences Between Big Data and Data Warehouse.

Also Read : Business Process Reengineering vs Business Process Improvement

Relational Database

A Relational Database is a type of database that uses a relational data model. This data model uses tables to store data, making it easier to retrieve data and understand relationships between data. An example of using a Relational Database is to store customer data, employee data, or company transaction data.

Distributed Database

A Distributed Database is a type of database used for distributing data across multiple servers or different locations. This type of database stores and manages data on several servers, not just a single central server. The goal is to provide faster data access. This database is used to facilitate data access from different locations and also to minimize the risk of data loss.

End-user Database

An End-user Database is a type of database used by end users. This database stores data needed by end users, such as customer data or company financial data. End-user Databases can also be used for data analysis or reporting purposes. Overall, each type of database has different uses and functions, depending on the needs of its application.

Choosing the right type of database will facilitate data management and accurate decision-making. Therefore, it is advisable to consider factors such as the types of data to be stored, data analysis needs, and the number of users when selecting the appropriate type of database.

References

https://www.tutorialspoint.com/Types-of-databases

Editor: Meilina Eka Ayuningtyas

meilinaeka
meilinaeka

Meilina is a graduate of Telkom University with a major in Telecommunication Technology, now focusing her career in Digital Marketing and Search Engine Optimization (SEO). She has experience in structured planning, data analysis, and is interested in combining technology with marketing. Meilina leverages her expertise to drive digital growth and optimize online presence across industries.

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