SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

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 ...

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce’s AI ...

SQL stands for ‘Structured Query Language’. This is basically a declarative language used for storing and retrieving data in a database. If you’ve heard of SQL, it’s probably in the context of MySQL, ...

Devart is releasing dbForge 2025.1, updating dbForge tools for all database systems, including SQL Server, MySQL, Oracle, and PostgreSQL along with the introduction of an AI-powered assistant.

The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Read now Fifty years ago, relational databases were neither ubiquitous nor standardized.

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, ...

Developers should be aware of the hazards of using nonstandard SQL commands such as those found in Oracle, Microsoft, and MySQL systems. Instead, you should use ANSI SQL, which is a ...