Apache Airflow vs Make: Features, Pricing and User Reviews 2026

Apache Airflow

Free Open-Source Workflow Automation Platform

ETL Workflow Automation+1 more

Make

Visual Workflow Automation Platform for Business

Workflow Automation AI Assistant+3 more

Apache Airflow

Free Open-Source Workflow Automation Platform

ETL Workflow Automation+1 more

Make

Visual Workflow Automation Platform for Business

Workflow Automation AI Assistant+3 more

Apache Airflow

Apache Airflow is a tool that helps you create and manage automated workflows for processing data. Think of it as a smart coordinator that runs your tasks in the right order, at the right time, and handles problems when they occur.

You define your workflows using Python code, which means you can use all the tools you already know. Each workflow is called a DAG, which shows how your tasks connect and depend on each other. Airflow comes with a visual web dashboard where you can see your workflows running, check logs, and restart failed tasks.

The platform works with cloud services like AWS, Google Cloud, and Azure, plus hundreds of other tools through ready-made connections. You can run it on your own servers or use managed services like Astronomer.

Make

Make.com is a visual workflow automation platform that connects different apps and services to create powerful automated processes. Think of it as the bridge between all your favorite business tools, allowing them to work together seamlessly without manual intervention.

The platform uses a unique visual approach where you build automations using modules and connections that look like a flowchart. Each module represents an action in a specific app, and you connect them to create complete workflows called scenarios. Make supports over 2,000 integrations including Google Workspace, Slack, Salesforce, social media platforms, and countless other business tools.

What sets Make apart is its flexibility and power. You can create simple automations like forwarding emails to spreadsheets, or complex multi-step workflows that involve conditional logic, data transformation, and AI integration. The platform is designed for both beginners and advanced users who need sophisticated automation capabilities.

Features of Apache Airflow and Make

Apache Airflow

Python-based workflow creation
Visual web dashboard with monitoring
Automatic task scheduling and retries
Smart dependency management
Scalable from laptop to cloud
1,500+ ready-made integrations
Works with AWS, Google Cloud, Azure
Command-line tools for automation
Built-in logging and alerting
Open source and self-hosted
Active community support
Enterprise-grade features available

Make

Visual drag-and-drop automation builder
2,000+ app integrations and connections
AI-powered workflows with intelligent agents
Real-time execution and minute-level scheduling
Advanced conditional logic and data transformation
Team collaboration with role-based permissions
Error handling and debugging tools
Template library with pre-built automations
Enterprise security and compliance features
API access for custom integrations

Use Cases of Apache Airflow and Make

Apache Airflow

Workflow Automation Data Pipeline Building Job Scheduling Workflow Deployment

Make

Workflow Automation Repetitive Task Automation App Integration AI Agent Building API Integration Process Automation API Workflow Automation No-Code App Building Email Campaign Automation

Pricing of Apache Airflow and Make

Apache Airflow

Apache Airflow is completely free and open source. You can download, install, and use it without any licensing costs or usage fees. This makes it accessible for individuals, startups, and large enterprises alike.

Since it is open source, you only pay for the infrastructure where you run it. This could be your own servers, cloud virtual machines, or container platforms. The cost depends on your computing needs and how many workflows you run.

If you prefer a managed solution, several companies offer hosted Airflow services. Astronomer provides Astro, a managed platform built on Airflow with pricing starting around $100-300 per month for small teams. Amazon offers MWAA (Managed Workflows for Apache Airflow), Google has Cloud Composer, and Microsoft has managed Airflow on Azure. These services handle infrastructure, updates, and scaling for you.

Make

Make offers flexible pricing plans to accommodate different automation needs. The Free plan provides 1,000 operations monthly, perfect for testing and simple automations. Operations are individual actions your workflows perform, like adding a row to a spreadsheet or sending an email.

Paid plans include:

Core ($9/month): 10,000 operations with unlimited scenarios and API access
Pro ($16/month): 10,000 operations plus priority execution and advanced features
Teams ($29/month): 10,000 operations with team collaboration tools and shared templates
Enterprise (Custom pricing): Unlimited operations, dedicated support, and advanced security features

All plans include access to the visual builder and app integrations. You can purchase additional operations at $1 per 1,000 operations if you exceed your monthly limit. Make offers excellent value compared to competitors, especially for complex multi-step automations that would cost significantly more on other platforms.