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

Apache Airflow

Free Open-Source Workflow Automation Platform

ETL Workflow Automation+1 more

Activepieces

Open-Source AI Automation for Teams

Workflow Automation Enterprise Integration Platform+1 more

Apache Airflow

Free Open-Source Workflow Automation Platform

ETL Workflow Automation+1 more

Activepieces

Open-Source AI Automation for Teams

Workflow Automation Enterprise Integration Platform+1 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.

Activepieces

Activepieces is a workflow automation platform that connects your business apps and creates automatic actions between them. You build flows by dragging steps onto a canvas, choosing when things should happen and what actions to take. Unlike basic automation tools, Activepieces includes AI agents that can make smart decisions and handle complex tasks on their own.

The platform offers both cloud-hosted and self-hosted versions. This means you can run it on your own servers for complete data privacy, or use their cloud service for quick setup. It supports over 350 integrations including Google Sheets, Slack, Gmail, and AI tools like ChatGPT. You can also write custom code when needed, making it flexible for both simple and advanced automation needs.

Features of Apache Airflow and Activepieces

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

Activepieces

350+ app integrations with popular tools
AI agents with decision-making abilities
Visual drag-and-drop flow builder
Open-source with MIT license
Self-hosted and cloud deployment options
Built-in data tables for storage
Human approval workflows
Custom JavaScript code support
MCP server integration for AI tools
Real-time flow testing
Template library
API access for developers

Use Cases of Apache Airflow and Activepieces

Apache Airflow

Workflow Automation Data Pipeline Building Job Scheduling Workflow Deployment

Activepieces

Workflow Automation Application Integration Cross-System Data Sync Custom Integration Building

Pricing of Apache Airflow and Activepieces

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.

Activepieces

Activepieces offers flexible pricing for different needs and team sizes. The free plan includes 1,000 tasks per month, 2 active flows, and 200 AI credits. This works well for individuals testing automation or running simple workflows.

The Plus plan costs $25 per month and gives you unlimited tasks, 10 active flows, 500 AI credits, unlimited tables, and email support. This plan suits small teams and growing businesses.

For power users, the Business plan is $150 monthly with 50 active flows, 1,000 AI credits, support for 5 users, 10 projects, and API access. You can add more users as needed.

Enterprise customers get custom pricing with options for self-hosting, single sign-on, audit logs, custom roles, and dedicated support. Contact their sales team for a quote.

Embed pricing starts at $800 per month for developers wanting to add Activepieces into their own products, with enterprise embed options from $2,500 monthly.