1. A method comprising: analyzing, by a database server in a computer system, a SQL statement's performance; determining, by the database server, whether the SQL statement can be executed in parallel by two or more processing resources; determining, by the database server, whether executing the SQL statement in parallel is faster by a predetermined factor than executing the SQL statement serially, wherein the determining further comprises determining a first response time for executing the SQL statement in parallel and a second response time for executing the SQL statement serially, wherein executing the SQL statement in parallel is faster by the predetermined factor than executing the SQL statement serially if the first response time is lower than the second response time by the predetermined factor; if the database server determines that the SQL statement can be executed in parallel and that executing the SQL statement in parallel is faster by the predetermined factor than executing the SQL statement serially, providing, by the database server, a recommendation indicating an improvement in the SQL statement's performance if the SQL statement were to be executed in parallel; if the database server determines that the SQL statement cannot be executed in parallel or that executing the SQL statement in parallel is not faster by the predetermined factor than executing the SQL statement serially, providing, by the database server, a recommendation indicating that the SQL statement's performance is not improved by the predetermined factor if the SQL statement were to be executed in parallel; receiving, by the database server, an input in response to the recommendation wherein the input accepts or rejects the recommendation, wherein the input is received from an external source outside the database server; and generating a statement-specific parallel profile associated with the SQL statement based on the recommendation, wherein the statement-specific parallel profile is used at runtime to determine whether the SQL statement is to be executed in parallel.