SQLazy Aims to End SQL Dialect Rewrites Across Multiple Databases

Data teams working across databases like MySQL, PostgreSQL, Oracle, and Snowflake routinely rewrite the same business logic due to incompatible SQL dialects, covering differences in functions, syntax, and window support. According to a Stack Overflow survey, developers lose considerable time to environment and compatibility issues, with SQL dialect gaps being a particularly costly form of technical overhead. Maintaining separate SQL versions for each database means any rule change must be updated in multiple places, raising the risk of inconsistencies and production errors. A tool called SQLazy proposes a different approach: users express query logic as a database-independent workflow, which a compiler then translates into native SQL for the chosen target platform. The solution targets the distinction between running one SQL everywhere — which fails in practice — and generating dialect-specific SQL from a single shared logic definition.