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GA4Dataform Syntax Choice

Dataform is a platform built on Node.js that helps you template SQL code, similar to how dbt templates SQL with Jinja.

Tech Stack Approaches​

Since Dataform supports JavaScript (both as NPM packages and natively) alongside plain SQL for final code generation, you have multiple architectural approaches:

  • Full JavaScript: Maximum programmability and dynamic logic
  • Full SQL: Traditional SQL-first approach with minimal templating
  • Hybrid: Combining both technologies strategically

Our Architectural Decision​

We chose the "SQL as base, JavaScript as helpers" approach for GA4Dataform because it provides:

Better Control​

SQL remains the primary language for data transformations, making logic transparent and debuggable while JavaScript handles configuration and complex templating scenarios.

Easier Adaptation​

Analysts can easily copy, modify, and understand SQL-based transformations without deep JavaScript knowledge, lowering the barrier to customization.

Enhanced Customization​

Users can customize their setup through JavaScript configuration files while keeping the core transformation logic in familiar SQL syntax.

Analyst-Friendly​

Most analytics professionals work primarily with SQL, making this approach more accessible and maintainable.

JavaScript Usage Pattern​

While we use JavaScript extensively, it serves specific purposes:

  • Configuration Management: Customizable setup through config files
  • Helper Functions: Utilities that make SQLX files more readable and maintainable
  • Dynamic SQL Generation: Complex templating logic when pure SQL isn't sufficient
  • Code Organization: Modular structure and reusable components

This balanced approach ensures that GA4Dataform remains powerful and flexible while staying accessible to SQL-focused analytics teams.