Enterprises also must process the data. Structured Query Language, or SQL, has been the de facto standard for querying for decades, but it is necessarily different when applied to real-time streams.

Why SQL Succeeded. To some extent, SQL was successful due to timing. As a way to standardize work around data, it provided a list of commands that were easy to understand.

SQL is orthogonal to data representation and storage. Some SQL systems support JSON and other structured object formats with better performance and more features than NoSQL implementations.

While SQL Server introduced support for JSON data in SQL Server 2016, it relied on using the non-optimized NVARCHAR(MAX) data type. While it worked, the functionality was limited, ...

SQL often struggles when it comes to managing massive amounts of time series data, but it’s not because of the language itself.The main culprit is the architecture that SQL typically works in ...

But SQL’s hold on data retrieval is slipping. New databases are emerging, and some speak entirely new languages. It’s not that SQL is becoming less popular.

SQL, the structured query language, is a programming language for communicating with databases. Variations on SQL are used by some of the most popular database tools in the world, including some ...

The landscape for database management systems is changing more rapidly these days than it has since the earliest days of the relational DBMS. Not only do we have an onslaught of NoSQL database systems ...

A DBA is a technician skilled in SQL and very large databases who is responsible for managing database software, backup and recovery processes, data security, and storage and capacity planning.

Structured query language (SQL) is often required for data science, coding and other tech industry jobs. Because SQL is one of the most common programming languages used in working with databases ...