Which language is used for managing and manipulating relational databases?

Structured Query Language, commonly known as SQL, is the standard language used for managing and manipulating relational databases. It provides a way for users to perform tasks such as querying data, updating records, inserting new data, and deleting existing data. SQL is designed to work with relational databases, which organize data into tables that can be linked—allowing for complex data retrieval and manipulation operations.

One of the key strengths of SQL is its ability to handle large volumes of data and perform complex queries with ease. Its syntax is straightforward and easily understandable, making it a preferred choice for database administrators and developers alike. SQL also includes features for defining data structures, controlling access to data, and ensuring data integrity, further cementing its role as the go-to language for relational database management.

In contrast, the other options listed do not serve the same primary purpose as SQL. Data Manipulation Language (DML) is actually a subset of SQL that includes operations for managing data. Object Query Language (OQL) is designed for querying object databases, while Abstract Query Language is less commonly recognized and does not have a standard implementation or broad application in relational database management. Thus, SQL stands out as the language specifically designed for the tasks described in the question.