Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

The information below serves as a brief primer to help you better understand the database terms you’ll most often encounter. Relational Databases. Relational databases became the database of choice ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...