Data-Transformation

Snowflake keeps shipping transformation-adjacent features — Dynamic Tables, Snowpark, Tasks, Streams — and the obvious question follows: do you still need dbt? The short answer is yes, almost always. But the longer answer is worth understanding before you commit to an approach. What each tool actually is dbt (data build tool) is a transformation framework that runs SQL (and Python) models inside your warehouse. It adds version control, testing, documentation, and lineage on top of raw SQL. It does not move data — it only transforms data already in the warehouse. ...

Overview dbt has become the default tool for SQL-based data transformation. But it is not always the right fit. Some teams hit dbt’s limitations around orchestration, testing, or developer experience and start looking for alternatives. This article covers the strongest options — what each one does well, where it falls short, and which teams it suits. 1. Dataform Dataform is Google’s answer to dbt. It uses SQL and JavaScript (instead of dbt’s Jinja) and is deeply integrated with BigQuery. If your warehouse is BigQuery and you want something maintained by the same company, Dataform is worth a close look. ...