What is Database Management Systems (DBMS)?
Database Management Systems (DBMS) are applications that manage and manipulate data in databases. Knowing how to monitor and optimise your database is critical to your operations because most application performance issues originate in the database.
What is Database Management Systems?
Database Management Systems (DBMS) were software programs that store, retrieve, and even execute data queries. A database server (DBMS) acts as a link between a user and a database, making it possible to create, read, update, and remove data in a database.
Users and other programs can also manipulate and extract data using DBMSs, which manage the data, the database engine, and the database schema. Also, it contributes to data security, integrity, concurrency, and consistent data management techniques.
DBMS optimizes data organization using a database schema design approach called normalization, which separates a large table into smaller tables when any of a table’s attributes have redundancy in values. DBMS provides several advantages over standard file systems, including greater flexibility and a more complicated backup scheme.
The data model, database distribution, and user counts are all factors that can use to classify database management systems. Also, the most popular are relational, distributed, hierarchical, object-oriented, and network DBMS software.
A database management system with a distributed architecture
A distributed database system (DBMS) collects logically interconnected databases dispersed more than a network and managed by the central data software. This sort of DBMS synchronizes data regularly and ensures that any data modifications update the database.
Database management system with a hierarchical structure
In hierarchical databases, model information organizes in a tree-like structure. Data storage represent by a parent-child relationship, which can be up or down.
Database management system for networks
By allowing each kid to have multiple parents, the network database model meets the demand for more complicated relationships. Organisations are organised in a network that can be visited via a variety of paths.
System for managing relational databases
Due to their user-friendly interface, database management systems (RDBMS) are the most common uses, data models. The normalization of the table’s rows and columns requires. This is an appropriate solution when you require a data storage system that is scalable, adaptive, and capable of managing enormous amounts of data.
An object-oriented database management system
Data is stored as objects in object-oriented models rather than rows and columns. It’s based on object-oriented programming (OOP), allowing things to contain members such as fields, attributes, and methods.
Examples of DBMS
A variety of database software solutions are available for database management, including both enterprise and open source options.
Below are just some of the most widely used database management systems:
Oracle
Oracle Database is a commercially available relational database management system. It has enterprise-scale database technology as well as a comprehensive set of features. You can store it locally or in the cloud.
MySQL
Mysql is a database management solution popular among open-source content management systems and enormous platforms like Facebook, Twitter, and YouTube.
SQL Server is a database management system.
A database Is a relational database management system. It is also based on SQL, a standardized programming language that allows database administrators to administer and query data.
Optimizing database performance
Databases include mission-critical record items that have intricate logical linkages with many other datasets that grow with the number of users in large businesses. As a result, to maintain a high level of performance, organisations must continually monitor, tweak, and upgrade their databases.
Finally, database performance is influenced by system resources, workload, throughput, congestion, and optimization. Also, without a database monitoring tool, it isn’t easy to analyze how these variables affect database performance and have a longer-term impact on application and business performance effectively.
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Real Estate IT Economics with Financial Precision: Enteros’ Cost Attribution Intelligence
- 9 February 2026
- Database Performance Management
Introduction Real estate has always been an asset‑heavy, capital‑intensive industry. From commercial portfolios and residential developments to REITs and PropTech platforms, profitability depends on precise financial control. Yet while real estate organizations apply rigorous financial discipline to assets, leases, and investments, their IT and data environments often lack the same level of cost transparency. Modern … Continue reading “Real Estate IT Economics with Financial Precision: Enteros’ Cost Attribution Intelligence”
Managing Database Growth with Financial Precision: Enteros for Tech Leaders
Introduction For technology enterprises, databases are no longer just systems of record—they are engines of innovation. SaaS platforms, AI applications, digital marketplaces, analytics products, and customer-facing services all depend on rapidly growing databases that must scale continuously, remain highly performant, and stay available around the clock. But as database environments grow, so do costs. Cloud … Continue reading “Managing Database Growth with Financial Precision: Enteros for Tech Leaders”
From Performance to Profitability: Enteros Database Intelligence for Real Estate Enterprises
- 8 February 2026
- Database Performance Management
Introduction The real estate sector has undergone a dramatic transformation over the past decade. What was once an asset-heavy, relationship-driven industry is now deeply digital, data-intensive, and platform-centric. Property listing portals, smart building platforms, tenant experience apps, valuation engines, AI-driven pricing models, IoT-enabled facilities management systems, and digital transaction platforms all rely on complex, always-on … Continue reading “From Performance to Profitability: Enteros Database Intelligence for Real Estate Enterprises”
Running Retail on Data: How Enteros Transforms Database Performance Management
Introduction Retail has evolved far beyond physical stores and point-of-sale systems. Today’s retail enterprises operate complex, always-on digital ecosystems that span e-commerce platforms, mobile apps, omnichannel order management, supply chain systems, loyalty programs, personalization engines, and real-time analytics. Every product search, cart update, inventory check, price change, promotion, and payment depends on high-performing databases working … Continue reading “Running Retail on Data: How Enteros Transforms Database Performance Management”