Purpose
Prefect is used to orchestrate workflows, covering data, machine learning, and AI agent scenarios. Its goal is to replace fragile cron jobs with self-healing pipelines, ensure data arrives on time, and help teams deliver faster. The official description is "start with a single flow, scale to millions."
Main capabilities
- By marking a Python function with the @flow decorator, you gain state, logs, and automatic retries without having to learn a new framework.
- Execute flows on your own infrastructure, with automatic retries on failure, on-demand horizontal scaling, and tracking of every task, so runs can recover on their own.
- Provide a unified UI that shows every run across all teams and infrastructure, flagging delayed or failed tasks; it supports viewing each run, logs, and status.
- Support thousands of parallel runs with global concurrency limits; support cron, event-driven, and backfill, with automatic recovery.
- Support runtime environments such as Kubernetes, ECS, your own VPC, or serverless.
- Provide alerts for failures, missed SLAs, and delayed runs.
- The enterprise edition provides a 30-minute response SLA.
- Open-source core: Prefect Cloud runs on the open-source Prefect framework; the company also builds FastMCP - an open-source framework for building MCP servers that connect agents to tools and data - as well as FastMCP Gateway.
How to use it
The core approach given by the company is: add the @flow decorator to a Python function, and any Python function can be turned into a durable, observable workflow. For deployment, it can run on managed compute, or keep execution within your own VPC, or somewhere in between; the same code can be deployed to any environment. The company says "your first flow in minutes."
Suitable scenarios
It is suitable for teams that need to orchestrate data, ML, and AI agent workflows, from startups to enterprises. Examples cited by the company include Ramp migrating critical data workflows to Prefect, and WHOOP reducing production incidents by 75%.
Limitations
The materials do not provide specific functional boundaries, pricing and cost details, a complete platform compatibility list, or prerequisites for use; this information is not currently available.
