$$ Structure and Flexibility:

$$ Data is stored in tables with rows and columns in relational databases, which offer a structured format for effective indexing and querying. Large volumes of data are simple to handle and organize consistently with this structure.

$$ Complex searches and data integrity can be ensured by defining associations between tables, such as primary keys and foreign keys.

$$ Data Integrity and Consistency:

Data types, primary keys, foreign keys, unique constraints, and other restrictions are some of the ways that relational databases protect data integrity. These limitations guarantee the accuracy and consistency of the data kept in the database.

$$ Relational database transactions are supported by the ACID $($Atomicity$,$ Consistency, Isolation, Durability$)$ qualities, which provide reliable database processing even in the case of failures.

$$ Querying and Performance:

$$ SQL $($Structured Query Language$),$ a standardized language for data querying and manipulation, is supported by relational databases. SQL has strong features for effectively obtaining, modifying, and aggregating data.

$$ In relational databases, indexing mechanisms enhance query performance by facilitating fast access to data through indexed columns. This speeds up query responses, particularly for big datasets.

$$ Relational databases are flexible for a range of operational and analytical activities because they work well with complicated queries that include joins, aggregations, and subqueries.