SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.

In addition to querying data, SQL provides functionality for modifying and managing data. You can use UPDATE statements to modify existing data in a table and DELETE statements to remove unwanted ...

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

Overview SQL still leads, but newer query languages are rising fast in usage and demandGraph-based tools like Cypher and GQL ...

Probably for a query that your application runs occasionally, in-memory processing of JSON data might still be an option. In general, though, querying through JSON-dedicated functions and letting SQL ...

SQL Server 2022 takes that ability a few steps further. Last year, I wrote a column on the introduction of query store hints into Azure SQL Database.

The ease and ubiquity of SQL have even led the creators of many “ NoSQL ” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

Any hint of dynamic T-SQL queries should ring warning bells for security minded developers. Dynamic queries are vulnerable to SQL injection attacks, one of the most common database attack vectors.