Prefect
Python-native workflow orchestration for data pipelines
Shyft Score
Directory quality rating
73/100
Quiet
Our take
The verdict on Prefect
AI-generated
Prefect offers Python-native workflow orchestration with strong observability, making it a great choice for data engineering teams.
Strengths
- Python-native workflows
- Automatic retries for failed tasks
- Real-time observability
Limitations
- Subscription pricing starts at $49/mo
- No AI agent support
Best for: Data engineering teams using Python
Request a demo to evaluate Prefect for your team.
See how Prefect fits your stackAbout
What is Prefect?
Workflow orchestration platform for data pipelines. Python-native with automatic retries, scheduling, and observability for data engineering workflows.
Key capabilities
Python-native workflows
Automatic retries for failed tasks
Built-in scheduling capabilities
Real-time observability and monitoring
Integration with popular data tools
At a glance
Use cases
What you can do with Prefect
Orchestrate complex data pipelines to automate ETL processes
Monitor and troubleshoot data workflows in real-time to ensure data integrity
Schedule and manage dependencies between different data tasks for seamless execution
Best for
Data engineersData scientistsAnalytics teams
Pricing
Prefect pricing
Prefect starts at $49/mo
Starting at $49/mo
Ecosystem
Connected ecosystem
MCP servers, AI skills, and integrations that work with Prefect
Integrations
AirflowSnowflakePostgreSQLAWS S3Google Cloud StoragedbtApache KafkaSlackGitHub
FAQs
Frequently asked questions
Common questions about Prefect and its capabilities
Prefect pricing starts at $49/mo. Contact Prefect for enterprise pricing and volume discounts.
Need help automating Prefect?
Our team can help you integrate Prefect with your existing tools and build custom automation workflows.
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