A Database is a collection of unknown figures known as data. Databases are usually organized and un-organized data. Databases also contain rows(record) and columns(field).
Company’s both large and small rely heavily on databases to power their applications. Databases store large amounts of data such as: user id’s, usernames, email addresses, healthcare data, product information, sales data and so on.
What is a Relational Database?
A Relational Database is a type of database that stores related data. These table have relationships organized into tables.
For example: user_id, user_name, age etc.
We have several types of Databases and below are some of them:
- Relational database
- Non-Relational database
- Object-oriented database
- NoSQL database
What is a Database Management System (DBMS)?
Database Management systems (DBMS) are applications that enhance management of data to enable user interaction.
Some examples of Database management systems include
- SQL Server
What is a Relational Database Management System (RDBMS)
A Relational Database Management System (RDBMS) store data into a collection of tables, related by common fields between the columns of the table. These RDBMS provides manipulation of data stored in the tables.
Difference between DBMS and RDBMS
Database Management Systems (DBMS)
- Contain tables with no relationship
- Data is stored in files.
- DBMS supports single user
- Stored files are treated internally
- Do not support table Normalization.
Relational Database Management Systems (RDBMS)
- Contain tables with related data
- Data is stored in form of tables with columns that have primary key.
- RDBMS supports multi users
- Stored tables are treated internally
- RDBMS aids recovery of database in times of data loss.
Generally, Databases are needed to store, query, sort, implement and improve data trends either for planning, forecasting outcomes and so on. In addition, databases are needed to solve problems. These problems could be in form of integrating multiple data sources and data referencing.