Create Apache Airflow DAGs in Minutes, Not Hours

Transform your data engineering workflow with our intuitive visual DAG designer. No coding required – just point, click, and deploy production-ready Apache Airflow pipelines.

🚀 Start Building DAGs Free
No credit card required
Production-ready code
Instant deployment
📋 Step 1: Project Setup
Define your data pipeline project
🔌 Step 2: Connect Data Sources
PostgreSQL, MySQL, CSV, APIs
⚡ Step 3: Generate DAG
Production-ready Airflow code
🎉 Deploy in < 5 Minutes!

Stop Wrestling with Complex DAG Code

Creating Apache Airflow DAGs shouldn't require days of coding, debugging, and Stack Overflow searches. EasyDAG transforms the most time-consuming part of data engineering into a simple, visual experience.

😤 The Old Way (Hours of Pain)

  • Writing hundreds of lines of boilerplate Python code
  • Debugging connection issues and syntax errors
  • Researching Airflow providers and configurations
  • Testing and iterating until it finally works
  • Repeating the same process for every new pipeline

🚀 The EasyDAG Way (Minutes of Joy)

  • Visual 7-step wizard guides you through everything
  • Automatic connection handling and error checking
  • Best practices and optimizations built-in
  • Production-ready code generated instantly
  • Reusable templates for common patterns
8 hours 5 minutes 🎉

Average time to create a production DAG

Everything You Need to Build Professional DAGs

EasyDAG provides all the tools and features data engineers need to create, validate, and deploy Apache Airflow DAGs efficiently.

Visual Wizard Interface

7-step guided wizard that walks you through every aspect of DAG creation. No coding knowledge required – just fill in the forms and watch magic happen.

Multi-Database Support

Connect to PostgreSQL, MySQL, and SQL Server databases seamlessly. Mix and match source and destination databases for flexible data pipelines.

CSV & API Integration

Import data from CSV files or REST APIs with automatic parsing and type detection. Perfect for external data sources and vendor integrations.

Production-Ready Code

Generated Python code follows Apache Airflow best practices with proper error handling, logging, and connection management built-in.

Flexible Scheduling

Configure hourly, daily, weekly, or custom cron schedules with visual time pickers. Perfect timing for your data workflows.

Real-Time Validation

Instant feedback on configurations with smart validation that catches errors before you generate your DAG. No more trial and error.

Built for Every Data Professional

Whether you're a seasoned data engineer or just getting started with Airflow, EasyDAG adapts to your needs and skill level.

Data Engineers

  • 10x Faster Development: Prototype DAGs in minutes instead of hours
  • 🎯 Focus on Logic: Spend time on data transformation, not boilerplate code
  • 🔧 Best Practices: Generated code follows industry standards automatically
  • 📈 Scale Productivity: Handle more projects with the same resources

Business Analysts

  • 🚫 No Code Required: Create data pipelines without programming knowledge
  • Self-Service Data: Get the data you need without waiting for IT
  • 📊 Direct Database Access: Connect to your data sources directly
  • 🎯 Business Focus: Concentrate on insights, not infrastructure

Data Scientists

  • 🔬 Data Pipeline Automation: Automate data collection for ML models
  • Scheduled Data Refresh: Keep training data up-to-date automatically
  • 🔗 API Integration: Pull data from external sources seamlessly
  • 📈 Model Feature Engineering: Automated data preparation workflows

Real-World Use Cases Made Simple

See how EasyDAG solves common data engineering challenges across different industries and use cases.

Customer Analytics Pipeline

E-commerce Company: Sync customer data from PostgreSQL CRM to MySQL analytics warehouse daily.

1 Source: PostgreSQL CRM (customers, orders, interactions)
2 Transformation: Join customer and order data with date filters
3 Destination: MySQL analytics warehouse for BI reporting
4 Schedule: Daily at 2 AM, incremental updates only
Result: 8 hours → 5 minutes
Automated customer 360° reporting with real-time insights

Sales Report Automation

Manufacturing Company: Import weekly vendor sales CSV files into reporting database automatically.

1 Source: Weekly CSV files from external sales partners
2 Processing: Auto-detect data types and handle missing values
3 Destination: PostgreSQL reporting database
4 Schedule: Every Monday at 6 AM, append new data
Result: Manual uploads → Fully automated
No more Monday morning data entry tasks

Real-Time API Data Collection

IoT Startup: Collect weather and sensor data from multiple APIs hourly for predictive models.

1 Source: Weather APIs, sensor endpoints, third-party data
2 Processing: JSON parsing and data normalization
3 Destination: Time-series database for ML training
4 Schedule: Every hour, 24/7 data collection
Result: Fresh data for ML models
Improved prediction accuracy with real-time features

Financial Data Warehouse

FinTech Company: Aggregate transaction data from multiple SQL Server databases into analytics warehouse.

1 Source: Multiple SQL Server transaction databases
2 Transformation: Data aggregation and financial calculations
3 Destination: Centralized PostgreSQL data warehouse
4 Schedule: Multiple times daily for regulatory reporting
Result: Unified financial reporting
Compliance-ready data with audit trails

Simple, Transparent Pricing

Start free and scale as you grow. No hidden fees, no surprise charges. Pay only for what you use.

Free

$0
Perfect for getting started
  • 5 DAGs per month
  • All database types
  • CSV & API support
  • Community support
  • Team collaboration
Start Free
POPULAR

Pro

$29
per month
  • Unlimited DAGs
  • Team collaboration (5 users)
  • Priority support
  • Advanced templates
  • Custom transformations
Start Pro Trial

Enterprise

Custom
For large organizations
  • Unlimited everything
  • SSO & security controls
  • Dedicated support
  • Custom integrations
  • On-premise deployment

All plans include 14-day free trial • No setup fees • Cancel anytime

SOC 2 Compliant
99.9% Uptime SLA
30-day Money Back

Trusted by Data Teams Worldwide

Join thousands of data professionals who've transformed their workflows with EasyDAG

10,000+
DAGs Generated
500+
Companies
95%
Time Saved
4.9★
User Rating

"EasyDAG has revolutionized our data pipeline development. What used to take our team days now takes minutes. The generated code is clean and follows all Airflow best practices."

SM
Sarah Martinez
Senior Data Engineer, TechCorp

"As a business analyst with no coding background, EasyDAG empowers me to create my own data pipelines. I can finally get the data I need without waiting for the engineering team."

MC
Michael Chen
Business Analyst, DataFlow Inc

"The ROI on EasyDAG has been incredible. Our data team can now handle 3x more projects with the same headcount. It's become an essential part of our data infrastructure."

AR
Alex Rodriguez
Head of Data, ScaleUp Co

Frequently Asked Questions

Everything you need to know about EasyDAG and creating Apache Airflow pipelines

Do I need to know Python or Apache Airflow to use EasyDAG?

Not at all! EasyDAG is designed for users of all technical levels. Our visual wizard guides you through every step, and you can create production-ready DAGs without writing a single line of code. The generated Python code follows all Airflow best practices automatically.

What databases and data sources are supported?

EasyDAG supports PostgreSQL, MySQL, and SQL Server databases as both sources and destinations. You can also import data from CSV files and REST APIs. We're constantly adding support for more data sources based on user feedback.

How do I deploy the generated DAGs to my Airflow environment?

EasyDAG generates standard Apache Airflow Python files that you can download and deploy just like any other DAG. Simply copy the generated .py file to your Airflow DAGs folder, configure the database connections in Airflow, and you're ready to go.

Can I customize or modify the generated DAG code?

Absolutely! The generated code is clean, well-documented Python that you can modify as needed. You can add custom transformations, additional error handling, or integrate with other Airflow operators. The code follows industry standards and is easy to understand and extend.

Is my data secure? Where is it stored?

Your data security is our top priority. EasyDAG only stores configuration metadata (like database connection details) locally in your browser. We never access or store your actual data. All connections to your databases are made directly from your Airflow environment.

What if I need help or have questions?

We provide comprehensive documentation, video tutorials, and example configurations to get you started. Pro and Enterprise users get priority support with dedicated help channels. Our community forum is also a great place to get help from other EasyDAG users.

Ready to Transform Your Data Workflows?

Join thousands of data professionals who've already discovered the power of no-code DAG creation. Start building production-ready Apache Airflow pipelines in minutes, not hours.

🚀 Start Building DAGs Free
Free 14-day trial
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Setup in < 5 minutes