There are a few differences between Redshift and Snowflake that you will need to take into account when converting SQL queries from Redshift to Snowflake. Here are some of the main differences:
Data types: Snowflake supports a wider range of data types than Redshift, so you may need to modify the data types of your columns when converting your table definitions.
Table names: Snowflake is case-sensitive, so you will need to make sure that your table names are in the correct case.
Date functions: Redshift and Snowflake have different functions for handling dates and times, so you may need to update your queries to use the appropriate Snowflake functions.
Window functions: Snowflake supports a wider range of window functions than Redshift, so you may be able to simplify your queries by using these functions.
JOIN syntax: Snowflake uses the ANSI standard JOIN syntax, while Redshift uses a non-standard syntax. You will need to update your JOIN clauses to use the ANSI syntax when converting your queries.
Table aliases: Snowflake does not allow you to use table aliases in the FROM clause, so you will need to move any table aliases to the SELECT clause.
LIMIT clauses: Snowflake uses the FETCH FIRST n ROWS syntax to limit the number of rows returned by a query, while Redshift uses the LIMIT n syntax. You will need to update your LIMIT clauses to use the appropriate syntax.
CTE syntax: Redshift and Snowflake use different syntax for common table expressions (CTEs). In Redshift, you use the WITH clause to define a CTE, while in Snowflake you use the CREATE TABLE AS SELECT (CTAS) statement.
Generated columns: Snowflake supports generated columns, which are computed based on the values of other columns in the table. Redshift does not have this feature, so you may need to update your queries to use generated columns in Snowflake.
Snowflake import urls to refer