Are you using/planning to use dbt for your data pipelines because it enables your data analysts to create their own data pipelines? We believe dbt is a great tool as it allows you to separate the functional SQL code (written by your data analysts) from the technical execution (managed by your data platform engineers). Recently, Niels ran some benchmarks against 3 popular open-source SQL engines and compared their user experience and performance. We would like to invite you to join Kris & Niels on Monday, October 16th from 12:00 PM to 13:00 PM CEST. During the webinar, we will discuss: - When to use which SQL engine (Trino, SPark, duckdb)? - Tips and tricks for running your data pipelines with dbt. - What is the cost difference between the different engines? - The impact of switching between different SQL engines.