Spark SQL schema is very flexible. It supports global data types, as booleans, integers, strings, but it also supports custom data types called User Defined Type (UDT).
Spark SQL - even if the SQL suffix makes automatically think about RDBMS - works well with other data sources, as even plain CSVs or JSON files. This relation would be difficult to achieve without the concept of schema.
