Relational database management systems

Explore the benefits, use cases and features of IBM relational database management systems (RDBMS)

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Relational database management systems

Today’s skyrocketing volume of structured data intensifies the challenge to consolidate, connect and store all of it. Relational database management systems enable users to aggregate and analyze this data to find predefined data relationships across multiple databases. The resulting insights can help to build customer relationships, drive IOT projects and improve supply chain productivity. 

IBM relational database management systems provide a flexible, scalable option to centralize, organize and share data between applications and users. You can manage large amounts of data arranged in tables, columns and rows, and use SQL queries to access managed data, modified data, or both.

Benefits of relational database management systems

Data consistency across applications and database copies

Aggregate, manage and analyze data and data relationships across multiple databases — to optimize the customer experience, facilitate ecommerce transactions, monitor processes and track supply chain and inventories.

Increased usability without complex structure or queries

Quickly manage and scale high volumes of data using tables, rows and columns. Simplified navigation makes it easy for data users to join queries and conditional statements from related tables using common SQL query tools.

Data that's enterprise accessible and AI ready

Provide users on AI projects with access to trusted data, and with tools like learning query optimization, confidence-based querying, and adaptive workload management. Multimodal capabilities eliminate the need for data replication and migration.

Use cases

How relational database software is used The strengths of relational database software solutions — data speed, security and integrity — make them ideal for addressing key enterprise use cases. Online transaction processing (OLTP)

Relational databases are well suited for OLTP apps because they support the ability to insert, update or delete small amounts of data; they accommodate a large number of users; and they support fast response times and frequent queries and updates. 

Internet of Things (IoT) environments

Relational databases offer a lightweight solution with the speed and small footprint that is needed to collect and process data from edge devices. They can be embedded into gateway devices and manage time series data generated by IoT devices.

Data warehouses and online analytical processing (OLAP)

In a data warehouse environment, relational databases can be optimized for OLAP — to facilitate analysis, enable queries on large numbers of records and to summarize data in many ways. Data stored in the data warehouse can also come from multiple sources.


Get started with a relational database management system Choose the solution and deployment option that meets your needs. IBM® Db2® Database

Gain advanced capabilities for both transactional and warehousing workloads, including in-memory technology, advanced management and development tools, storage optimization, workload management, actionable compression and continuous data availability.

Explore IBM Db2 Database
IBM Informix®

IBM Informix features a secure embeddable relational database, optimized for OLTP and IoT data. With self-managing capabilities, native encryption and a small memory footprint, Informix is designed for reliability and ease of use with a low total cost of ownership.

Explore IBM Informix

Case studies

Owens-Illinois reaps the benefits of Db2

Discover how migrating to IBM Db2 transformed this global glass manufacturer. Lower total cost of ownership, faster query performance and reduced server footprint have now allowed them to focus their budget and mindset on more strategic priorities.

Watch the video (02:53)

Petrosoft harnesses IoT data

By embedding IBM Informix databases in its devices, Petrosoft enables clients to harness IoT data at the edge of the network and gain a clear view of information from a host of front-end systems.

Read the case study

Engage an expert

Learn how you can use relational databases to support modern use cases and technologies. Talk one-on-one with an IBM expert for 30 minutes at no charge.