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 ...

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 ...

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 ...

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 ...

If your business uses Microsoft SQL Server, you may want to have multiple instances of servers on multiple computers for synchronization or backup purposes. Microsoft SQL Manager lets you accomplish ...

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 ...

SQL Server 2022: Here’s what you need to know Your email has been sent Three decades on, SQL Server is still a database workhorse that powers both an internal line of business applications and ...

Using Access to build a front end for SQL Server Your email has been sent What are the advantages of using Access as the front end to a SQL Server database? For starters, it's likely that your ...

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 ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...