How does Snowflake support the use of structured and semi-structured data?

Structured data is supported through the use of traditional relational database tables, organized into rows and columns.

Structured and semi-structured data are stored in separate physical storage locations; users must choose which type of data to use when creating a table.

Semi-structured data is supported through the use of automatically indexed database tables.

All semi-structured data is automatically converted into structured data when it is loaded into Snowflake.

Users can load and query semi-structured data using SQL using the SQL semi-structured data handling functions.