Why is SQL preferred for data analytics over non-relational databases?

SQL is preferred to handle data analytics over non-relational databases since SQL was designed with structured data appropriate for complex relationships and aggregation queries. Due to its standardized syntax and high adoption, analysts can achieve a range of operations in a dataset-such as filtering, grouping, and joining-relatively efficiently. SQL can also provide strong support for reporting and visualization via various tools and integrations. Relational databases ensure the consistency and integrity of data, which is important for proper analysis. While NoSQL databases offer flexibility, the proven reliability of SQL, combined with advanced querying capabilities, makes it a go-to choice for analytics in most scenarios.