The article focuses on optimizing database queries in crowdsourcing systems using a technique called crowd optimization, to improve the way users interact with relational databases When users submit SQL queries, the system compiles and evaluates them, generating efficient execution plans that balance cost and speed. The study uses algorithms to optimize selection, join, complex, and order-by queries. It helps the database system process queries faster and more cost-effectively for the users.