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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 the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.

Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.

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 C-language library that provides a self-contained, serverless, and zero-configuration SQL database engine. Renowned for its small footprint and high reliability, SQLite is the most widely deployed database engine globally, embedded in billions of devices and applications. Its cross-platform database file format ensures seamless data transfer across different systems, making it a preferred choice for developers seeking an efficient and dependable database solution. Key Features and Functionality: - Self-Contained and Serverless: Operates without a separate server process, reading and writing directly to disk files. - Zero-Configuration: Requires no setup or administration, facilitating easy integration into applications. - Full-Featured SQL Implementation: Supports advanced capabilities like partial indexes, indexes on expressions, JSON, common table expressions, and window functions. - Single-File Database: Stores the entire database, including multiple tables, indices, triggers, and views, in a single cross-platform disk file. - Scalability: Handles databases up to 281 terabytes and supports row sizes up to 1 gigabyte. - Compact Size: With all features enabled, the library size can be less than 900KiB, depending on the target platform and compiler optimization settings. - High Performance: In some cases, SQLite is faster than direct filesystem I/O. - Cross-Platform Compatibility: Supports various operating systems, including Android, iOS, Linux, Mac, and Windows. - Public Domain Source Code: The source code is in the public domain, allowing free use for any purpose. Primary Value and User Solutions: SQLite offers a lightweight, reliable, and easy-to-use database solution that eliminates the complexities associated with traditional database management systems. Its serverless architecture and zero-configuration setup make it ideal for applications where simplicity and efficiency are paramount. By storing data in a single file, SQLite simplifies data management and portability, addressing the needs of developers and organizations seeking a robust database engine without the overhead of a full-fledged RDBMS.

Microsoft Access is a database management system (DBMS) developed by Microsoft, combining the relational Access Database Engine with a graphical user interface and software development tools. As part of the Microsoft 365 suite, Access enables users to create, manage, and analyze databases efficiently. It allows for the development of application software and supports integration with various data sources, including SQL Server and Oracle, through ODBC compatibility. Access is designed to facilitate rapid application development (RAD), making it suitable for both novice users and experienced developers. Key Features and Functionality: - Data Storage and Management: Access stores data in its own format based on the Access Database Engine and can import or link directly to data stored in other applications and databases. - User Interface Design: It provides tools to create forms and reports, enabling users to design intuitive interfaces for data entry and analysis. - Query and Reporting Tools: Access includes a query interface and report creation features that can work with any data source that Access can access. - Programming Support: Access supports Visual Basic for Applications (VBA), allowing for advanced automation, data validation, and error trapping. - Integration Capabilities: It can link to data in its existing location and use it for viewing, querying, editing, and reporting, allowing the existing data to change while ensuring that Access uses the latest data. Primary Value and User Solutions: Microsoft Access provides a versatile platform for users to develop custom database solutions tailored to their specific needs. Its integration with other Microsoft Office applications enhances productivity by allowing seamless data sharing and reporting. Access's user-friendly interface and robust functionality make it an ideal choice for small to medium-sized businesses, educational institutions, and individual users seeking to manage and analyze data effectively without requiring extensive programming knowledge.

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 fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity. - Serverless Compute: Automatically adjust compute resources based on workload needs, optimizing performance and cost. - Built-in Intelligence: Utilize AI-driven features for performance tuning, threat detection, and advanced security measures. - High Availability: Ensure business continuity with automatic backups, geo-replication, and a 99.99% uptime SLA. - Advanced Security: Protect data with multi-layered security, including encryption, access controls, and compliance with over 100 certifications. Primary Value and Solutions Provided: Azure SQL Database simplifies database management by automating routine tasks such as patching, backups, and monitoring, allowing developers to focus on application development. Its scalability and performance capabilities support applications of varying sizes, from small web apps to large enterprise solutions. The integration with Azure services and support for AI and machine learning workloads enable the creation of intelligent applications. Additionally, its comprehensive security and compliance features ensure data protection and regulatory adherence, making it a reliable choice for businesses seeking a robust cloud-based database solution.

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.

Sales Hub is a modern sales software that helps teams build pipeline, accelerate deal velocity, and create stronger customer connections. Powered by HubSpot’s Smart CRM, it combines AI, automation, and insights in one easy-to-use platform, so reps can sell smarter and scale without added complexity.

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.