Today we will learn What is Database Management System. We all know that on the Internet, every moment, a large amount of data, which is a set of information that includes numbers, text, media, files, images, videos, etc., is generated and transferred between different systems. This information can be important for every person in their position; Especially for organizations and businesses for whom security and access to their information are important. The information and data of the company are stored and organized in the database based on certain rules and orders so that they can access the information they need when needed and secure their data. Databases support electronic storage and modification of data and data management is greatly simplified by databases. Databases use a database management system (DBMS) to manage and control data.
Database Management System
A DBMS is a communication bridge between the database, users, and applications, which facilitates communication and interaction between these components and provides the possibility to define, create, update, query, and manage the database in general. So businesses, after purchasing a Linux VPS or a Windows VPS to host their website, must use a database management system to access and manage their information in the database.
Database management systems optimize data control and organization using database schema techniques (normalization); They divide large data tables into smaller chunks to reduce dependencies and redundancy.
You’ve probably guessed by now what the article is about. Yes, you guessed it right; In this article, we will talk about database management systems, and we will introduce you to the types of database management systems and their benefits. So stay with us to know everything about No Database Management System.
What is Database Management System (DBMS)?
A database management system (DBMS) is a software package designed to define, manipulate, update, execute queries, retrieve, store and manage the data in a database. DBMS can typically modify data, data format, field names, record structure, and file structure and also defines rules for validating, extracting, and modifying this data. DBMS is an interface between users, databases,s and software that facilitates communication and interaction between components. The database supplies all its files only to the database management system package, so the only way to access the database data is through the DBMS.
The database management system provides services to access database data to protect all data attributes. It also provides the possibility to control and organize data as well as manage database design and database engine.
Additionally, database management systems allow multiple users to access the database simultaneously while maintaining data integrity. Therefore, database management systems have a significant impact on the security and integrity of data and the uniformity and concurrency of data management procedures. Compared to traditional file systems, DBMS offers more complex backup systems and benefits such as flexibility.
In the past, large organizations used database management systems, but their use has become a necessity for all businesses today.
Main function of database management system
- Maintain data structures
- Edit and modify data
- Support and recovery
- Managing maintenance and storage of data information in a database
- Performance monitoring
- safety
- Set Information
Characteristics of DBMS System
- Creating and presenting tables of available data and relationships between data
- Create a self-descriptive nature for the database
- Providing security and preventing data redundancy
- Providing a multi-user environment to enable management of multiple users at the same time
- Ability to separate data and software
- ACID feature support
- Multi-user transaction processing and data-sharing capabilities
Types of database management systems
Database management systems are classified based on various aspects such as database distribution, data model, number of users, and number of users supported, we will mention the main types below:
Columnar Database Management System (CDBMS)
CDBMS provides optimal performance in data management thanks to data organization in a columnar format. Due to their useful and efficient ability to read data, they have fast performance in analytical processing. For this reason, CDBMS is usually the choice of large organizations with large amounts of data.
Relational Database Management System (RDBMS)
A relational database management system (RDBMS) is one of the most popular and widely used database management systems with its user-friendly interface that treats data structures as relational.
The relational model applies normalization techniques to the columns and rows of data tables and brings benefits such as flexibility, scalability, and more accurate management to data storage users. Also, many relational database systems have the option of using SQL (Structured Query Language) to query and maintain the database.
If we want to describe the characteristics of RDBMS, we must say that the data structure is considered in a tabular format and provides the ability to support multiple users at the same time. Also, RDBMS has the ability to control and manage large amounts of data.
Unlike other DBMS, RDBMS can also manage distributed databases and use indexes and keys to avoid data redundancy.
Document Database Management System (DDBMS)
In this model of the database management system, there is no relational structure between the data, but the organization of documents and data is done in JSON files. Also, MongoDB query language is used for database operations like reading and writing.
Distributed database management system
When a set of databases on a distributed network have a logical relationship to each other and require a centralized database program to manage, a distributed DBMS is used. The data is periodically synchronized by the distributed DBMS and the distributed DBMS has the ability to quickly update the entire database with every minor change.
Hierarchical database management system
In this model, the structure of the system is tree-like, and the data is stored and organized hierarchically (top-down or bottom-up) in a tree-like structure. According to the type of data connection in this type of DBMS, data is displayed as branches and sub-branches, the information of each branch may include several sub-branches, but the sub-branches data are kept in sections of a branch.
Network database management system
In the network database management system model, unlike the hierarchical model, sub-branches can have different branches of data. Thanks to this feature, it will be easier to examine more complex relationships and it is also possible to access and organize the entities of a graph using different methods of the network model.
Object Oriented Database Management System
In the object-oriented model, there are no more rows and columns for organizing data. In this model, the database is defined as a collection of objects, and information is stored as an object in the database.
An object-oriented database management system with object-oriented programming (OOP) defines values such as fields, properties, and methods for objects.
Main components of DBMS
Database management systems use several components in an integrated manner to perform management tasks, if you are interested, we will introduce you:
Storage engine: The main component of DBMS is storage engine for storing data. Thus, it communicates with a file management system at the operating system (OS) level to store data.
Query Processor: This component plays a role in the clarity and comprehensibility of commands for the database and the interpretation of user queries.
Query Language: The database management system provides an API in the form of database access language to access and modify data. In addition, DBMSs use a query language to secure and authorize data access, create database objects, and generally interact with the database. Structured Query Language (SQL) and MongoDB Query Language (MQL) are two examples of query languages used in DBMS to communicate with databases.
Optimization Engine: Supply insights to improve database & query performance. Thus, it parses database access language requests and converts them into executable commands for accessing and editing data.
Metadata Catalog: It is a repository for storing database objects that have been created.
Log Manager: This component is responsible for tracking, user activity, backup, logging, and other tasks performed with the Database Management System.
Reporting and Monitoring Tools: These tools are used to control DBMS resource usage and generate reports.
Data Utilities: This component of a dedicated or shared server is responsible for tasks such as data verification, database repair, recovery and backup, and data integrity testing.
Advantages of database management systems
The most important benefit of a database management system is the ability to provide data integrity management. With the possibility of data access for both end users and programmers. Information is better protected and maintained when you can share the same data stored in files using a DBMS, rather than creating new duplicates. Next, we will mention the benefits of DBMS.
Data Sharing: DBMS allows files and data to be shared between users.
Preventing database redundancy: DBMS can control database redundancy by storing data in database files.
Ease of Maintenance: Since the database system is centralized, its maintenance is facilitated by DBMS.
Reduce Time: Reduces the time required for DBMS maintenance and development.
Backup: By having a backup and recovery structure. The database management system backs up and restores data in case of hardware and software failure.
Multiple User Interfaces: DBMS supports different types of user interfaces like application interfaces, graphical user interfaces, etc.
Disadvantages of database management systems
Complexity: The database management system has many requirements and complexities. Therefore, you must have enough skills and knowledge or look for DBA employees, developers, and programmers to use the system properly. And manage the installation and integration of DBMS into the IT infrastructure.
Weaknesses in solving computations: DBMS is unable to solve some complex computations.
Size: DBMS needs a lot of disk space and memory for good performance.
Cost of Software and Hardware: One of the biggest disadvantages of database management systems is the cost of software and hardware required to manage the database. Which requires a substantial budget. Also, if you want the DBMS software to run smoothly and well, you need to spend money to equip the hardware with a high-speed data processor and enough memory.
The high impact of failure: Any potential failure of the database can bring unpleasant consequences and serious losses. For example, if a power failure damages the database, you could lose data as a result.
Familiarity with popular DBMS
As for database management, there is a wide range of database management systems and we will introduce you to the most popular ones.
MySQL
It is the world’s most famous and popular database management system, based on SQL architecture. And a relational type is based on client-server. Hence it uses a tabular format to organize the data. It is free and receives regular security updates and new features Of course. There are some commercial versions of this given program that are available for use. Instead of focusing on adding many features, in the free version of this database. The main focus is on speed and reliability.
The MySQL database management system supports C, C++, Java, Perl, PHP, and Python. And the Ruby programming language as well as computing platforms such as Linux, Windows, and macOS distributions. Also, the MySQL user interface is very simple and intuitive. And it doesn’t consume many system resources.
Oracle database
Oracle is always on the list of best-known databases. Which are RDBMS types with an architecture divided between logical and physical structures. Organizational network computing is one of Oracle’s strengths, offering users the flexibility to scale with modular physical memory. For large databases, Oracle provides the best performance. This is because it’s based on memory caching architecture. And provides security and data integrity by restoring and backing up databases using the Recovery Manager (RMAN) tool.
The first version of this database was presented in the late 70s and continues to this day. Its various versions are provided so that you can choose the most suitable version for your work. The latest version of Oracle 12c is designed for the cloud and can be deployed on a single server or multiple servers. Hence it can record and manage billions of records without any problem. Also, security is greatly improved in this version of the program as each transaction is isolated from all other transactions.
Oracle has made it possible for users to distribute, use, and embed its code by promising to be open source. Like other databases for database software development. Its support C, C++, Java, COBOL, PL/SQL, and Visual Basic languages, and fortunately, it is compatible with most major operating systems, Linux, Windows, and macOS.
MongoDB
MongoDB is a document database system that stores data in collections and documents without SQL (NoSQL). Unstructured data storage, full index support, and replication using API are some of the notable features of MongoDB. MongoDB is known as free software under Server-Side Public Terms (SSPL). It supports multiple programming languages including Node.js, PHP, Motor, Scala, Swift, and C#. Linux, Windows, and macOS are some of the popular operating systems that can run MongoDB.
Schema-free databases, which can have a single collection with multiple documents, are supported by MongoDB. There is no requirement that the data in the database be relational. Due to its nature, MongoDB is suitable for large projects with millions of documents.
