Why SQL Looks Different in Every Database?
SQL is supposed to be one language, so why does it look different in PostgreSQL, SQL Server, MySQL, Oracle, and Snowflake? Here is a simple guide to SQL dialects and why they matter.
Product updates, SQL tips, and practical notes from the team.
SQL is supposed to be one language, so why does it look different in PostgreSQL, SQL Server, MySQL, Oracle, and Snowflake? Here is a simple guide to SQL dialects and why they matter.
Speed is often measured by how quickly a tool returns converted SQL. But that is only part of the story. The real measure of speed is how quickly a team can move from source SQL to usable SQL in the target database. A poor conversion may take seconds to generate, but hours to fix.
When teams move from one database platform to another, the goal is usually clear: convert existing SQL as efficiently as possible while keeping the original business logic intact. But in practice, the hardest part is not always the first conversion.
Every database system has its own way of doing things. MySQL, SQL Server, PostgreSQL, Oracle, MariaDB, SQLite, Snowflake, Databricks, and other platforms may all use SQL, but they do not use it in exactly the same way. Functions differ. Date handling changes. That is where most traditional converters begin to struggle.