Graph Databases vs Relational Databases: Key Differences

Every application needs a reliable way to store and manage information. An online store handles products, customers, orders, and payments. A banking platform manages accounts, transactions, and customer records.

But storing information is only part of the job. Applications also need to connect different pieces of data and retrieve them quickly.

This is where database architecture matters.

Relational databases have supported business applications for decades. They organise information into structured tables and use SQL to manage records. Graph databases take a different approach. They focus on entities and the relationships between them.

Both database types solve important problems. However, they are designed for different data requirements.

For example, a payroll system may work well with relational tables. A fraud detection platform may benefit from a graph database because it needs to identify connections between accounts, devices, and transactions.

So, which one should a business choose?

Let's compare graph databases vs relational databases, understand how they work, and explore their practical applications.

What Is a Relational Database?

A relational database stores information in tables made up of rows and columns.

Each table represents a particular category of information. Rows contain individual records, while columns describe their properties.

For example, an online store may maintain separate tables for customers, products, and orders.

A customer table might contain:

• Customer ID
• Customer name
• Email address
• Phone number

An orders table may include:

• Order ID
• Customer ID
• Order date
• Total amount

The Customer ID connects an order to the person who placed it. This connection is usually maintained through primary keys and foreign keys.

Relational databases use Structured Query Language (SQL) to retrieve, update, insert, and delete information.

Popular relational database systems include:

• PostgreSQL
• MySQL
• Microsoft SQL Server
• Oracle Database
• SQLite

These systems are widely used in banking, ecommerce, accounting, inventory management, and business applications.

Their structured approach helps maintain data consistency and supports reliable transactions.

What Is a Graph Database?

A graph database stores information as connected entities rather than relying primarily on tables.