The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

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 ...

I've been playing around with the new Microsoft service, currently in preview and it's time to show off what it can do. Have you ever struggled with a database performance problem or ever struggled to ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Software architects face an important technical problem when they must decide how to best interact with backend database systems. The decision often comes down to the Hibernate vs. JDBC debate, as the ...

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 NoSQL ...

One way that organizations are storing data in the cloud is by moving their databases to the cloud. What once meant building an entire physical server, patching it, installing software like Microsoft ...

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 ...