# Dbt Orchestration: Airflow vs Dbt Jobs **URL:** \ **Category:** Help\ **Tags:** best-practice, bigquery, airflow, dbt-cloud\ **Created:** [January 13, 2023, 4:18am UTC](https://discourse.getdbt.com/t/dbt-orchestration-airflow-vs-dbt-jobs/6078 "2023-01-13T04:18:14Z")\ **Posts on this page:** 1\ **Showing post:** 2

**Author:** ![joellabes](https://sea2.discourse-cdn.com/flex020/user_avatar/discourse.getdbt.com/joellabes/32/3980_2.png) [@joellabes](https://discourse.getdbt.com/u/joellabes)\ **Post date:** [January 13, 2023, 4:59am UTC](https://discourse.getdbt.com/t/dbt-orchestration-airflow-vs-dbt-jobs/6078/2 "2023-01-13T04:59:03Z")

Hey @Zenb! Selfishly, I suspect that because dbt Cloud’s scheduler is pretty simple to set up, there’s not a lot of demand for lots of people building explainers on how to use it 😅 We should do a better job of making that information available though - what were you you searching online that brought up mostly Airflow? A lot of companies do use Airflow alongside dbt Cloud, but unless you have other tools in your data transformation process (e.g. an ML process that you need to trigger in a different system after a dbt run completes) it’s definitely not mandatory and you’ll be well served by using dbt Cloud’s built in scheduler to avoid the extra complexity. To answer your questions: > [@Zenb](#): > > 1. Can I run my entire dbt run through a scheduled job, instead of using airflow completely, and save some complexity? Short answer: yes! Long answer: probably, unless you have a particularly complex setup as described above. > [@Zenb](#): > > 1. Does this allow for running ‘dbt run’ through different BigQuery projects (not just schemas)? I don’t normally use BQ myself so I’m not 100% sure, but it’s [supported in dbt Core](https://discourse.getdbt.com/t/can-we-use-multiple-bigquery-datasets-or-projects-in-the-same-dbt-project/769) so I don’t see why not! --- _[View the full topic](https://discourse.getdbt.com/t/dbt-orchestration-airflow-vs-dbt-jobs/6078)._