n8n.io vs Apache Airflow

Struggling to choose between n8n.io and Apache Airflow? Both products offer unique advantages, making it a tough decision.

n8n.io is a Development solution with tags like automation, workflows, integration, api, web-services, open-source.

It boasts features such as Graphical interface to create workflows, Over 250 prebuilt nodes/integrations, Ability to create custom nodes, Execute workflows via web UI, CLI, REST API, or cron, Open source and self-hosted, Built on Node.js and pros including Free and open source, Active development and community, Extensive node library, Self-hosted option increases customization, Visual workflow builder is easy to use.

On the other hand, Apache Airflow is a Ai Tools & Services product tagged with scheduling, pipelines, workflows, data-pipelines, etl.

Its standout features include Directed Acyclic Graphs (DAGs) - modeling workflows as code, Dynamic task scheduling, Extensible plugins, Integration with databases, S3, and other environments, Monitoring, alerting, and logging, Scalable - handles data pipelines across organizations, Web server & UI to visualize pipelines, and it shines with pros like Open source and free, Active community support, Modular and customizable, Robust scheduling capabilities, Integration with many services and databases, Scales to large workflows.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

n8n.io

n8n.io

n8n.io is an open source workflow automation tool. It allows you to connect different services together with predefined or custom nodes and automate workflows between them. Useful for integrating APIs, web services, databases, and more.

Categories:
Development Workflow Automation
automation workflows integration api web-services open-source

N8n.io Features

  1. Graphical interface to create workflows
  2. Over 250 prebuilt nodes/integrations
  3. Ability to create custom nodes
  4. Execute workflows via web UI, CLI, REST API, or cron
  5. Open source and self-hosted
  6. Built on Node.js

Pricing

  • Open Source
  • Self-Hosted

Pros

Free and open source

Active development and community

Extensive node library

Self-hosted option increases customization

Visual workflow builder is easy to use

Cons

Limited integrations compared to enterprise tools

Initial learning curve to understand workflows

Self-hosted option requires server management

Not as robust as commercial options

Apache Airflow

Apache Airflow

Apache Airflow is an open-source workflow management platform used to programmatically author, schedule and monitor workflows. It provides a graphical interface to visualize pipelines and integrates with databases and other environments.

Categories:
Ai Tools & Services Workflow Management
scheduling pipelines workflows data-pipelines etl

Apache Airflow Features

  1. Directed Acyclic Graphs (DAGs) - modeling workflows as code
  2. Dynamic task scheduling
  3. Extensible plugins
  4. Integration with databases, S3, and other environments
  5. Monitoring, alerting, and logging
  6. Scalable - handles data pipelines across organizations
  7. Web server & UI to visualize pipelines

Pricing

  • Open Source

Pros

Open source and free

Active community support

Modular and customizable

Robust scheduling capabilities

Integration with many services and databases

Scales to large workflows

Cons

Steep learning curve

Can be complex to set up and manage

Upgrades can break DAGs

No native support for real-time streaming

UI and API need improvement