Traditional relational databases, the powerhouse of software applications since the 1980s, work well when your data is predictable and fits well into tables, columns, rows, and wherever queries ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

Modern relational databases need to handle multiple transactions simultaneously (via a process known as Online Transaction Processing – OLTP). Increasingly, ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well ...

Real-world relational databases have tables that contain fields, constraints, and triggers, and tables are related through foreign keys. SQL is used to declare the data to be returned, ...

Relational databases have existed for more than 40 years now. They’ve changed little over that period and while they work well, they couldn’t answer the scalability demands of cloud native ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many ...

Conventional databases, meaning relational databases that use SQL (Structured Query Language) for queries, are the product of decades of technology evolution, good practice, and real-world stress ...