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 ...

Since that time, SQL has become the dominant language for relational database systems. In recent years, frameworks and architectures have arrived on the programming scene that attempt to hide (or ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

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 ...

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 ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and querying ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...