SQL and Hadoop are two different technologies used for big data processing.

SQL and Hadoop have its own strengths and weaknesses.

 SQL is a relational database management system that is well-suited for processing structured data.

SQL is designed to store data in a tabular format and provides a standardised language.

Hadoop is a distributed file system that is designed to handle large volumes of unstructured or semi-structured data.

If you are dealing with structured or semi-structured data with relatively small volumes, SQL may be a good choice.

SQL databases can be expensive to scale up while Hadoop can be more cost-effective due to its distributed architecture.

SQL is a widely-used technology that many developers are familiar with, while Hadoop requires a more specialised skill.