Prefect

Prefect

Prefect is an open-source workflow orchestration framework for building, running, and monitoring data pipelines. It allows users to define workflows in Python with features like scheduling, retries, and state management. Prefect Cloud offers managed infrastructure with serverless execution, real-time observability, and team collaboration tools. Targeting data engineers, ML engineers, and DevOps teams, Prefect simplifies automation and scaling of complex data workflows, providing robust error handling and integrations with popular data tools.

Automation
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Added on
Aug 7, 2026
Workflow SchedulingServerless ComputeReal-time MonitoringAlertingWebhooksAutomationsSSORBACCustom Work Pools
Product information

Everything worth knowing about Prefect

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Workflow Scheduling
Schedule and manage data workflows with ease.
Workflow Observability
Monitor workflow runs, performance, and status in real-time.
Logging & Alerting
Access detailed logs and set up alerts for workflow events.
Webhooks
Integrate with external systems via HTTP callbacks.
Automations
Automate workflow triggers and actions based on conditions.
Technical capabilities
API Rate Limits
Manage API request rates to ensure system stability.
Custom Work Pools
Configure custom compute resources for workflow execution.
Must watch videos
How Relativity Prefects: Orchestrating Generative AI Models
2:31
Tutorial2:31
How Relativity Prefects: Orchestrating Generative AI Models
Listen in as the Engineering Manager at Relativity shares how they're using Prefect to process millions of documents through their GenAI platform with a 99.9% success rate. Timestamps: 0:00 Introduction & Relativity Overview 1:00 Why Prefect & Implementation 2:00 Results & Future at Relativity
Getting Started with Prefect | Task Orchestration & Data Workflows
26:40
Tutorial26:40
Getting Started with Prefect | Task Orchestration & Data Workflows
- Get all of my free resources to help you learn: https://skool.com/moderndata/about - Work with me to modernize your data architecture: https://bit.ly/kdsconsulting ----- A big challenge for many data teams is orchestrating all of the tools within their data stack. Fortunately, there are tools designed to address this exact issue (task orchestration) and make our lives as data engineers easier. So in today's video, I want to show you how to use a great open-source task orchestration tool called Prefect that you can use to orchestrate and monitor your entire stack from a single location. It has a great UI, is designed with data tools in mind and only requires basic Python knowledge to get started. By the end of this video you'll understand what Prefect is all about and how you can start using it in your own data stack. Thank you for watching! Timestamps: 00:00 - Intro 00:44 - What is Prefect? 02:32 - Install Prefect 04:48 - Create a Python Script 06:44 - Add a flow 07:42 - Add a task 08:45 - Add a subflow 09:49 - Intro to Deployments 12:03 - Create a Deployment 15:17 - Start an Agent 16:48 - Use Prefect Cloud 20:25 - Using Blocks 23:09 - Version Control & Storage w/ GitHub 26:07 - Automations & Task Concurrency Title & Tags: Getting Started with Prefect | Task Orchestration & Data Workflows #kahandatasolutions #dataengineering #prefect
AI Agents Fix/Break Everything: Building Prefect MCP Server & Pydantic AI Integration
3:13
Tutorial3:13
AI Agents Fix/Break Everything: Building Prefect MCP Server & Pydantic AI Integration
Second episode of conversations with the Prefect team about building the company. Nate Nowack (@zzstoatszz) and Alex Streed (@desertaxle) talk about: • How coding agents are changing how we build software • The Prefect MCP server and making our API accessible through natural language • Pydantic AI integration for building resilient agents • Why agent-friendly code design pays dividends for everyone Prefect: prefect.io FastMCP: gofastmcp.com Docs: docs.prefect.io

Who uses it

Real use cases, no hype
Data Pipeline Orchestration
Manage and schedule complex data workflows with dependencies.
Machine Learning Operations
Orchestrate model training, deployment, and monitoring pipelines.
ETL Processes
Automate extract, transform, load tasks across multiple sources.
Workflow Automation
Automate repetitive business processes with ease.
Real-time Monitoring
Monitor workflow status and performance in real-time.
What's great
  • Intuitive Python API for defining workflows
  • Excellent integration with modern data tools
  • Free tier available for getting started
Technical strengths
  • Dynamic task graph execution based on runtime data
  • Built-in support for caching and resuming workflows
Where it falls short
  • Steeper learning curve compared to simpler tools
  • Costs can escalate with cloud features at scale
  • Limited community compared to older tools like Airflow
Technical limitations
  • Dependency on Python environment and version compatibility
  • May require additional setup for complex infrastructure
For technical folks

The deep-dive specs

Architecture
Event-driven workflow orchestration
API Rate Limits
625-5000 requests per minute depending on plan
Serverless Runtime
Prefect-managed compute with credit-based usage
Integration
RESTful APIs, Webhooks, and Cloud Services

FAQ

Includes technical Q&A
Prefect is a modern workflow orchestration tool for data pipelines, built in Python for flexibility and scalability.

Traffic Insights

Monthly Visits

—

November 2026

Growth Rate

0%

vs last month

Dominance

0%

in Automation

Top Country

—

Top Countries Breakdown

—

Growth Trend

Stable

Traffic has remained stable.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Hobby
Free

Individuals

  • Workflow scheduling
  • 2 users
  • Up to 5 deployments
  • 500 min of Prefect Serverless
  • Workflow observability
  • Logging & alerting
  • 7 days run retention
Starter
Most picked
$100/mo

Small Teams

  • All Hobby features
  • 3 users
  • Up to 20 deployments
  • 75 hours of Prefect Serverless
  • Bring your own compute
  • Webhooks
  • 1
Team
$100 / user/month

Teams

  • All Starter features
  • 4-8 users
  • Up to 100 deployments
  • 225 hours of Prefect Serverless
  • Service accounts
  • 24 hour audit log
  • 50 automations
Pro
Custom

Enterprise

  • All Team features
  • 5-20 users
  • Up to 1
  • 000 deployments
  • 250 hours of Prefect Serverless
  • Multiple workspaces
  • SSO (SAML/OIDC)
Enterprise
Custom

Enterprise

  • All Pro features
  • 5+ users
  • Unlimited deployments
  • Custom Prefect Serverless
  • RBAC + ACLs
  • Directory Sync (SCIM)
  • IP allowlisting & PrivateLink
View Full Plans & Pricing on Prefect

Official pricing, checkout, and plan upgrades are handled directly on prefect.io.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
Not reviewed yet
G2
G2
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C
Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
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