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Modern workflow orchestration for data
Prefect is a Python-native workflow orchestration platform that helps data teams build, run, schedule, and observe data pipelines and workflows with a focus on dynamic, resilient execution. Its framework lets engineers turn Python functions into orchestrated flows with retries, caching, scheduling, and observability, and Prefect Cloud adds a hosted control plane with monitoring, automations, and collaboration, reducing the brittleness of traditional orchestrators.
Prefect is used by data engineering and platform teams that want a flexible, developer-friendly orchestrator that fits modern Python data stacks. Its dynamic workflows adapt to runtime conditions, its observability surfaces failures quickly, and its open-source core plus cloud offering suit teams of many sizes. For data teams orchestrating pipelines and jobs, Prefect is a popular modern alternative to legacy schedulers.
Pricing Model
FREEMIUM
Starting Price
Contact vendor
Free Options
Free version, Free trial
| Feature | Open Source | Cloud Popular |
|---|---|---|
| Python workflow framework | — | |
| Retries and caching | — | |
| Scheduling | — | |
| Self-hosted | — | |
| Community support | — | |
| Hosted control plane | — | |
| Monitoring and automations | — | |
| Collaboration | — | |
| RBAC | — | |
| Priority support | — |
Other
Communication
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Data transformation with virtual environments
Data transformation and analytics engineering with SQL
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