ETL, AI/ML Ops, Data Orchestration.
Whatever you call it. Prefect runs it all.
We built the orchestrator you've always wanted
Instead of forcing you into rigid DAGs or DSLs, Prefect fits how you already work and helps your workflows grow with you.
Workflows that respond to your data, not the other way around
Prefect’s dynamic DAG engine adapts to change, so workflows don’t stall when reality shifts.
"With Prefect, you write your business logic, and it becomes a data processing microservice."— Toby Rahloff, LiveEO
Python-native orchestration
You don't need to rewrite your code to make it reliable. Add a few annotations and run it as-is
"Airflow’s rigid DAG structure didn’t work well with Endpoint’s existing Python code, requiring substantial modifications…"— Sunny Pachunuri, Endpoint
When something breaks, you’ll know exactly why
If something fails, the reason is clear. No digging or confusion. You get the full picture, right when you need it.
"We rely a lot on audit logs and ways to inform us when something fails… With Prefect, we know that if something fails, it really failed."— Carlos Peralta, WHOOP
Run it anywhere. Scale as needed.
You choose the environment. Prefect fits into what you’ve already built and grows with it, without forcing a structure.
"Each flow can be deployed to a unique environment… Prefect’s dependencies and environment are entirely separate from every flow it manages."— Wendy Tang, Cash App
Why Prefect?
Prefect empowers data and platform teams to build trustworthy workflows quickly by combining Pythonic simplicity with a secure self-service framework. Ensure resilience and efficiency at scale, while reducing your infrastructure costs by up to 70% with Prefect.
Learn why leaders like Cash App switched from Airflow to Prefect
Cash App Upgrades From Airflow to Prefect To Power Machine Learning Workflows
Cash App switched from Airflow to Prefect when their machine learning needs outgrew basic ETL pipelines, enabling faster fraud prevention model deployment while maintaining strict security. See how their ML team gained the flexibility to rapidly combat new fraud patterns across multiple cloud environments.
Rent The Runway Slashes Implementation Time With Prefect
Rent the Runway's transition from Airflow to Prefect transformed their data operations, dramatically reducing workflow implementation time while cutting infrastructure costs. See how this fashion-tech pioneer orchestrates data for 2.5 million customers and 750+ designer brands.
Endpoint Saves 73% In Costs By Switching From Airflow To Prefect
After upgrading their data orchestration platform from Airflow to Prefect, Endpoint tripled its production and reduced costs by 73%. Learn more by reading the full article.
What Our Users Are Saying
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.
Get Started With Prefect
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