A Database Management System (DBMS) is software to store, manage, retrieve, and manipulate data effectively. It contains several functions and features to ensure data accuracy, availability, and accessibility.
At a broad level, a DBMS is required for the following reasons:
A few key features of a DBMS are as follows:
Database Management Systems (DBMS) can be categorized into four categories.
1. Relational Database Management Systems (RDBMS):
2. NoSQL Database Management System
3. Object-Oriented Database Management System (ODBMS):
4. Hierarchical Database Management System:
The choice of a Database Management Systems (DBMS) depends on the data
data types, and management requirements.
Here are a few well-known examples:
is a widely used open-source RDBMS. It is known for its speed, reliability,
and ease of use. MySQL is often used in web applications and is a vital
component of the Linux, Apache, MySQL, PHP/Perl/Python stack.
Microsoft SQL Server: It is Microsoft's database management system suitable for following workloads.
Additionally, it offers Reporting Services and Integration Services (ETL), and Azure databases.
Oracle Database: Oracle’s database is famous for its scalability, robustness, and enterprise features suitable for large and mission-critical applications.
MongoDB: MongoDB is a popular NoSQL database that uses a document-oriented data model. It is designed for flexibility, scalability, and handling of unstructured data. MongoDB is widely used in web and mobile applications.
Neo4j: Neo4j is a graph database that manages and queries data with complex relationships. It is ideal for applications involving social networks, recommendation engines, and knowledge graphs.
Redis: Redis is an open-source, in-memory data store often used as a key-value database or cache. It is known for its high-speed data retrieval and is used to build real-time applications and cache frequently accessed data.
Couchbase: Couchbase is a distributed NoSQL cloud database with unmatched versatility, performance, and scalability for cloud, mobile, AI, and edge computing applications.
PostgreSQL: PostgreSQL is an open-source RDBMS with high extensibility and SQL compliance. It supports relational (SQL) and non-relational (JSON) queries with increased resilience, correctness, and integrity. It adds support for geospatial, JSON data types, and analytical applications.
Although it is technically feasible to have a database without a dedicated Database Management System (DBMS), this configuration would be extremely limited in usefulness and efficacy. Generally speaking, a DBMS is essential to effectively managing and maintaining databases. While you can create databases without a DBMS, they would not be feasible for real-time applications that require well-established frameworks for handling data securely, effectively, and scalable with changing data requirements.
SQL refers to the Structure Query Language that communicates with the DBMS. There are various forms of SQL language as per the RDBMS. Here are a few examples: