Prefect

Prefect

Verified

DataOps Orchestration

Modern workflow orchestration platform for building and monitoring data pipelines.

100-200 employees
Washington, DC
Founded 2018
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Product Overview

Prefect

Prefect is a modern workflow orchestration platform that enables data engineers to build, schedule, and monitor data pipelines with Python. It offers both open-source and cloud versions, providing dynamic DAG generation, fault-tolerant execution, and comprehensive observability features.

Unique Value Proposition

Prefect's dynamic workflow engine adapts to changing data and conditions in real-time, eliminating the rigid DAG constraints of traditional orchestrators. With its Python-native approach and minimal code changes required, teams can convert existing Python scripts into production workflows in minutes rather than weeks.

Categories

Workflow Automation
DataOps Platforms
ETL/ELT

Target Market

Industries

Technology
Financial Services
Healthcare
E-commerce
Data Analytics
Research

Company Size

10 - 1000 employees

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Pricing Information

Pricing Model

tiered

Price Range

$100 - $450/user/month

Free Trial Available

30-day trial period

Typical Contract Length

12 months

Key Features

Dynamic DAG Generation
Python-native Workflows
Parameterized Flows
Hybrid Execution Model
Real-time Monitoring
Automatic Retries
Caching and Memoization
Event-driven Automation
Workflow Versioning
Rich Dashboard UI
Flow Run History
Resource Management
Deployment Management
Variable Storage
Secrets Management
Notification System
Scheduling Engine
Backfill Support

Integrations

AWS
Google Cloud Platform
Microsoft Azure
Kubernetes
Docker
dbt
Snowflake
BigQuery
Databricks
GitHub
GitLab
Slack
Microsoft Teams
PagerDuty
Twilio
SendGrid
PostgreSQL
MySQL
Redis
MongoDB
API Available
View Docs

Security Features

Role-Based Access Control (RBAC)
Single Sign-On (SSO)
API Token Authentication
Workspace Isolation
Audit Logs
Secrets Management
Encryption at Rest
Encryption in Transit

Security & Compliance

SOC 2 Type II

Implementation & Support

Implementation Time

1 weeks (7 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

Business Hours

Implementation Support Included
Training Resources Available