Database Management System

by Alyssa Towns
Teams use database management systems to store, retrieve, and manipulate data sets. Learn more about the types, benefits, and limitations of DBMSs.

What is a database management system?

A database management system (DBMS) is a platform used to store, retrieve, and manipulate data. Users can create, read, and delete data in the database. Different types of database structures exist to support varying data models.

Database administrators use database management systems to manage and guarantee their organization’s data is clean, secure, and consistent. A DBMS generally aligns with a database model (e.g., hierarchical or relational) and provides database maintenance capabilities. 

Types of database management systems

Several types of database management systems are available to meet varying needs. Some of the most common types of DBMS include:

  • Relational database management systems (RDBMS) store data in tables to use that information in relation to other datasets. Table columns represent attributes, and table rows represent records of data. Some well-known examples of RDBMS are Microsoft Structured Query Language (SQL) Server, MySQL, and Oracle Database.
  • Hierarchical database management systems store data in parent-child relationships in a hierarchical database. Organized into a tree-like structure, records contain information about linked parent-child data relationships. Parent records can have several children below them, but each child only has one parent record.
  • Network database management systems are similar to a hierarchical database, except they’re more flexible from a relationship perspective. This model allows child records (called members) to have multiple parents (called owners). Network databases work well for more complex relationships due to their many-to-many relationship flexibility. 
  • Object-oriented database management systems store data as items in an object-oriented database model. Objects are real-world entities with attributes. Objectives with the same characteristics are grouped into classes. Object-oriented databases are best suited for object-oriented programming languages like Python, JavaScript, Java, and C#.
  • Document database management systems store data in document format instead of rows and columns. Documents visualize information about objects and related metadata for easy access. Unlike relational database management systems, document databases are non-relational and store unstructured data in a flexible document format.

Basic components of database management systems

Database management systems have six essential components.

  • Hardware hardware refers to physical devices such as computers and hard disks. The equipment captures the data and presents the output to the user.
  • Software is used to manage and control the database. The software consists of procedures, programs, and routines associated with the operation of the hardware. The software programs include databases, operating systems, and network software for sharing data.
  • Data can be structured and highly specific or non-structural and loose. Databases contain the actual raw data and metadata. Examples of metadata include the data's size and the data's name. 
  • Procedures are the instructions utilized in the database management system. Typically the instructions include information about how to set up the database, install it, log in and log out, manage day-to-day operations, and how to back up the database. Procedures also contain instructions for generating reports of the database. 
  • Database Access Language is used to write commands that perform operations on the data. This allows users to access, create, and delete data. 
  • Users perform different operations on the database using database access language. Database administrators and software developers are examples of users who engage with a database management system. 

Benefits of database management systems

Managing data effectively is critical for making wise business decisions. Successful database management requires commitment, but when executed well, organizations experience many benefits, including: 

  • Better data integrity. Database management systems centralize data sources into several databases to reduce duplicates across the organization. The right database management system paired with procedures for data quality reviews can increase data integrity. 
  • Faster data sharing. A DBMS helps users access and share data quickly. Quicker access to accurate data improves workflows for end users. 
  • Easy access to backup and recovery. Database management systems regularly and automatically back up data. A DBMS can also restore the database after a system crash or failure. 

Challenges of database management systems

Before diving into database management, some challenges organizations have to be addressed. Some of the frequent difficulties are:

  • Scalability limitations and constraints. Businesses should consider how much they will scale as they may quickly outgrow their database. When a company outgrows its database, it experiences performance difficulties, making managing and validating data more challenging. Databases can be scaled through horizontal scaling (adding more memory) or vertical scaling (adding more hardware).
  • Data security challenges. Storing sensitive data in a database can be costly and risky should a database breach occur. Examples of prevalent threats to databases include unauthorized access privileges by employees and database injection attacks. Database security tools can help organizations secure sensitive data and mitigate threats. 
  • Database performance issues. Maintaining database performance can be tricky, especially as data volumes grow. Teams should implement processes to regularly improve database performance to ensure they can process data rapidly to avoid hindering end users’ workflows.

Learn why relational databases are so popular and how to use them effectively.

Alyssa Towns
AT

Alyssa Towns

Alyssa Towns works in communications and change management and is a freelance writer for G2. She mainly writes SaaS, productivity, and career-adjacent content. In her spare time, Alyssa is either enjoying a new restaurant with her husband, playing with her Bengal cats Yeti and Yowie, adventuring outdoors, or reading a book from her TBR list.

Database Management System Software

This list shows the top software that mention database management system most on G2.

MySQL is an open source database solution.

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PostgreSQL is a powerful, open source object-relational database system.

Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.

IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.

SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine

Microsoft Access is the database software that provides templates to help you get started and newly added web databases that make it easier to track, report, and share data with others.

SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.

MariaDB is a high performance, open source database that helps the world's busiest websites deliver more content, faster.

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

• Harness data with broad functionality and unlimited scalability. IBM Informix is a secure embeddable database, optimized for OLTP and Internet of Things (IoT) data. Informix has the unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data. Everyone from developers to global enterprises can benefit from its reliability, flexibility, ease of use and low total cost of ownership. • Optimize business decisions Perform analytics close to data sources to enhance local decision making. Access business intelligence faster with enhanced integration with various tools and applications. • Eliminate downtime Ensure always-on operations across your grid environment. Upgrade, maintain and configure the grid with no downtime. Successfully meet service-level agreements. • Improve development agility Support both structured and unstructured data with a hybrid database system for enhanced flexibility and easier development. • IBM Informix is available on-premise and on the IBM Cloud. IBM Informix on Cloud offers the complete feature set of on-premises Informix deployments. Run your OLTP queries and workloads on an optimized instance and use the Informix warehouse accelerator to configure in-memory query acceleration for predictive analytics. Get the benefits of Informix without the cost, complexity and risk of managing your own infrastructure. IBM Informix V14.10 enhances all editions, bringing improvements to performance, security, administration, and core database capabilities including support for online transaction processing (OLTP) and replication workloads, timeseries and spatial data. Discover why many of the world’s most innovative companies depend on IBM Informix.

Airtable is the all-in-one collaboration platform designed to combine the flexibility of a spreadsheet interface with features like file attachments, kanban card stacks, revision history, calendars and reporting.

Crate.io is a distributed, document-oriented database designed to be used with traditional SQL syntax.

Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven applications and websites in the programming language of your choice, without needing to manage infrastructure.

BoldTrail combines the Inside Real Estate portfolio of solutions into one cohesive ecosystem, powering and streamlining your workflow to drive maximum productivity.

Notion is a unified workspace for teams. Notion is a connected workspace where your team can create docs, take notes, manage tasks, and organize your work – all in one place. And now, with Notion AI, you can augment your capabilities in new and unexpected ways. Leverage the power of AI right inside Notion, across all your notes and docs, without the need to jump between your work and a separate AI-powered tool.

JackDB is a secure, collaborative environment for your queries and data-driven insights.

Supercharge your sales process with Sales Hub, a powerful and easy-to-use sales CRM that includes sales engagement tools, configure-price-quote (CPQ) functionality, and robust sales analytics for growing teams.

Apache Derby is a relational database management system developed by the Apache Software Foundation that can be embedded in Java programs and used for online transaction processing.

Supercharge Your Response Management with Private AI. Revolutionize Your Document Workflow – Manage RFPs, audits, security questionnaires, and repetitive documentation effortlessly with a unified platform – leveraging two distinct AI models.