Prefect Logo
Data Platform

Enable self-service infrastructure without losing control

Get Started
Testimonial
Prefect allows us to create a microservices-like architecture for our data pipelines, essentially acting as a contract between independent teams.
Nelson Griffiths
Nelson Griffiths
Engineering Lead, Double River Investments
data_infra.py
data_infra.py

Why platform teams choose prefect

Transform your platform team from a deployment bottleneck into an innovation enabler. Give teams the autonomy they need while maintaining security, control, and cost efficiency.

Infrastructure flexibility

Automatically deploy, scale, and manage workflows across multi-cloud infrastructure using native cloud and Kubernetes integrations.

Governance and control

Securely govern workflows with centralized audit logs, object-level access controls (RBAC & SCIM), and secure credential management.

Cost optimization

Track and optimize infrastructure spend through dynamic scaling, team-based cost allocation, and detailed resource utilization control.

Team productivity

Deploy workflows to production faster with standardized patterns and self-service capabilities that reduce team overhead.

flow.py
1import httpx
2from prefect import flow
3
4
5if __name__ == "__main__":
6    flow.from_source(
7        source="https://github.com/prefecthq/demos.git",
8        entrypoint="flow.py:get_repo_info",
9    ).deploy(
10        name="my-first-deployment",
11        work_pool_name="my-managed-pool",
12        cron="0 1 * * *",
13    )

Operational excellence

Monitor and maintain high-availability production workflows with automated recovery, performance tracking, and SLA management.

Hear from data platform teams

Anonymous

Prefect allows our platform team to manage infrastructure efficiently while giving developers flexibility in deploying and scaling workflows. The hybrid execution model means we can run tasks locally, in the cloud, or across Kubernetes clusters without friction. - G2 Crowd

Juan B.

We use Prefect to orchestrate all the processes needed to create and maintain our data warehouse and our data lake. It’s simpler and more cost-effective than Airflow, and it integrates seamlessly with our cloud and on-prem infrastructure. - G2 Crowd

Adam D.

As a DevOps engineer, I appreciate how Prefect gives us complete visibility into our job executions and scheduling. Its monitoring and alerting features have significantly reduced our time spent debugging and maintaining workflows. - G2 Crowd

Alex G.

We needed a way to queue and run jobs on both our bare-metal infrastructure and Google Cloud. Prefect enables us to do this seamlessly while providing clear logs and execution tracking across all environments. - G2 Crowd

Anonymous

Prefect's hybrid execution model has been game-changing for our platform team. We can execute workflows in a secure on-prem environment while using Prefect Cloud for orchestration. This allows us to maintain compliance without losing scalability. - G2 Crowd

Anonymous

Before Prefect, tracking failures in our batch processing jobs was a nightmare. Now, we have complete observability into job states, retries, and logs, which has helped our SRE team maintain system reliability and uptime. - G2 Crowd

Erick C.

We use Prefect to integrate workflow automation into our CI/CD pipelines. The flexibility of execution models, combined with Prefect’s API and event-driven triggers, has allowed us to streamline deployments and reduce manual intervention. - G2 Crowd

George C.

Prefect has been instrumental in helping us deploy and scale workflows within our Kubernetes environment. The ability to containerize flows and dynamically allocate resources has made it a key part of our infrastructure automation strategy. - G2 Crowd

Dr. Wolfgang S.

We needed a workflow orchestrator that works across multiple cloud providers and on-prem environments. Prefect’s cloud-agnostic design allows us to run workloads wherever we need them while keeping centralized control. - G2 Crowd

Get Started