Your data is dynamic. Your workflows should be too.

The Data Engineering and MLOps teams were impressed by the elimination of retrofitting requirements. Switching from Astronomer to Prefect resulted in a 73.78% reduction in invoice costs alone.

We took all the Prefect features and designed an architecture that really works for our infrastructure provisioning and our organization.

Prefect gives us the granular flexibility to build a custom platform that would work for our entire organization, without needing a bloated infra architecture.

Our job is to provide data analysts and data scientists the data they need to create data products that drive business value. And beyond that, we focus on enabling our data scientists by removing roadblocks and giving them powerful tools that make their jobs easier. Prefect is allowing us to achieve these objectives.

With Prefect we can define our workflows precisely, using code that's under version control. Features like tasks, task dependencies & retries, and mapping make it easy to write robust data imports and data pipelines.

We use Prefect to orchestrate dbt Cloud jobs right alongside other data tools. It brings visibility to our entire pipeline and streamlines our deployments. By combining Prefect and dbt Cloud, you get the best of both worlds without sacrificing functionality, governance, or velocity.

Prefect allows us to create a microservices-like architecture for our data pipelines, essentially acting as a contract between independent teams.