Prefect
Workflow orchestration for the modern data stack
Founded
2018
Starting Price
Free
Category
Automation & Integration
Last updated March 11, 2026
About Prefect
Prefect is an open-source workflow orchestration framework that turns Python functions into production-grade data pipelines with minimal friction. It enables teams to build, schedule, and monitor workflows in pure Python without DSLs or complex config files, automating over 200 million data tasks monthly.
Pros & Cons
Pros
- Python-native design eliminates complex DSLs and config files
- Generous free tier with full core functionality
- Hybrid execution model keeps data secure in your infrastructure
- Event-driven automation for reactive workflows
- 90% runtime overhead reduction in Prefect 3.0
Key Features
Python-Native Workflows
Build workflows using pure Python with simple decorators — no DSLs, DAGs, or complex configuration required.
Prefect Cloud
Fully managed orchestration platform with scheduling, monitoring, logging, alerting, and real-time observability.
Prefect Serverless
Run workflows on Prefect-managed infrastructure without provisioning your own compute resources.
Event-Driven Automation
React to state changes and trigger workflows from webhooks, cloud events, or custom event sources.
Hybrid Execution Model
Separate orchestration from execution so workflows run securely in your own infrastructure.
Asset Tracking & Lineage
Track every data asset your workflows produce with full lineage graphs and health monitoring.
Dynamic Workflows
Native Python control flow including conditionals, loops, and error handling for dynamic pipeline logic.
Pricing
Hobby
Free
- 2 users
- Up to 5 deployments
- 500 min serverless
- Workflow scheduling & observability
- 7 days run retention
Best For
Data Pipeline Orchestration
Schedule and monitor ETL/ELT pipelines with automatic retry and failure handling.
ML Model Training & Deployment
Orchestrate ML workflows including preprocessing, training, evaluation, and deployment with full observability.
Event-Driven Data Processing
Build reactive systems that process data when events occur from file uploads, webhooks, or database changes.
Business Intelligence Automation
Automate report generation, dashboard refreshes, and data quality checks on recurring schedules.
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