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.

With SQL databases, all data has an inherent structure. A conventional database like Microsoft SQL Server, MySQL, PostgreSQL, or Oracle Database uses a schema—a formal definition of how data ...

SQL database is a relational database. ... If your data doesn’t fit into tables, you need to design your database structure that will be complex and, again, difficult to handle.

The AI query engine enables more intuitive data access while maintaining SQL’s structure and security. The optimized vector search delivers measurable performance improvements for semantic ...

The SQL/NoSQL debate is principally focused on whether it is better to continue adherence to the SQL database structure, with which manufacturers are most familiar, or hitch our wagons to the NoSQL ...

An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.

Data lakehouses enable structure and schema like those used in a data warehouse to be applied to ... (such as SQL). The data lakehouse approach is one that's likely to become increasingly ...