Description: SQL-like refers to databases that use a query language resembling traditional SQL but do not conform to the strictly relational structure of SQL databases. These databases, commonly classified as NoSQL, allow developers to perform queries and manipulate data more flexibly, adapting to different data models such as documents, key-value pairs, columns, or graphs. Despite being non-relational, these databases offer features that facilitate data interaction, such as the ability to perform complex queries and integration with popular programming languages. This approach enables organizations to handle large volumes of unstructured or semi-structured data, which is essential in environments where scalability and speed are crucial. The adoption of SQL-like languages in the NoSQL realm has allowed developers to leverage their existing SQL knowledge, easing the transition to new database technologies without the need to learn a new language from scratch.
