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Node-RED VS Apache Airflow

Compare Node-RED VS Apache Airflow and see what are their differences

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  3. » Reviews
  4. » Alternatives

Node-RED logo Node-RED

Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways.

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Node-RED Landing page
    Landing page //
    2021-07-23
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Node-RED features and specs

  • Visual Programming
    Node-RED offers a flow-based development interface which allows users to create applications by wiring together pre-built nodes, making it intuitive and easier to understand, especially for non-programmers.
  • Extensibility
    The platform is highly extensible with a large library of pre-built nodes available and support for creating custom nodes. This makes it adaptable to a wide range of use cases.
  • Event-Driven
    Node-RED is designed around an event-driven architecture, which is beneficial for handling asynchronous events and real-time data.
  • Cross-Platform
    Node-RED is based on Node.js and runs on various platforms including Windows, macOS, Linux, and even low-resource devices like Raspberry Pi.
  • Integrations
    It offers extensive integration capabilities with various protocols (like MQTT, HTTP, and WebSockets) and a wide variety of services (like databases, cloud services, and IoT platforms).

Possible disadvantages of Node-RED

  • Performance
    Being a higher-level tool built on Node.js, it may not match the performance of systems built directly using lower-level languages and tools, particularly for very resource-intensive applications.
  • Complexity with Large Flows
    As the number of nodes and flows increases, the visual representation can become cluttered and harder to manage. This might make debugging and maintenance more difficult.
  • Scalability
    While suitable for small to medium-sized projects, Node-RED may face challenges in scaling to very large, enterprise-level applications without significant architectural adjustments.
  • Learning Curve for Advanced Features
    Although it simplifies basic tasks, there can be a steep learning curve to unlock its full potential, particularly when dealing with sophisticated integrations or custom node development.
  • Security
    The out-of-the-box security features may not be sufficient for all applications. Additional measures such as authentication, encryption, and network security must be implemented for deployment in sensitive environments.

Apache Airflow features and specs

  • Scalability
    Apache Airflow can scale horizontally, allowing it to handle large volumes of tasks and workflows by distributing the workload across multiple worker nodes.
  • Extensibility
    It supports custom plugins and operators, making it highly customizable to fit various use cases. Users can define their own tasks, sensors, and hooks.
  • Visualization
    Airflow provides an intuitive web interface for monitoring and managing workflows. The interface allows users to visualize DAGs, track task statuses, and debug failures.
  • Flexibility
    Workflows are defined using Python code, which offers a high degree of flexibility and programmatic control over the tasks and their dependencies.
  • Integrations
    Airflow has built-in integrations with a wide range of tools and services such as AWS, Google Cloud, and Apache Hadoop, making it easier to connect to external systems.

Possible disadvantages of Apache Airflow

  • Complexity
    Setting up and configuring Apache Airflow can be complex, particularly for new users. It requires careful management of infrastructure components like databases and web servers.
  • Resource Intensive
    Airflow can be resource-heavy in terms of both memory and CPU usage, especially when dealing with a large number of tasks and DAGs.
  • Learning Curve
    The learning curve can be steep for users who are not familiar with Python or the underlying concepts of workflow management.
  • Limited Real-Time Processing
    Airflow is better suited for batch processing and scheduled tasks rather than real-time event-based processing.
  • Dependency Management
    Managing task dependencies in complex DAGs can become cumbersome and may lead to configuration errors if not properly handled.

Analysis of Node-RED

Overall verdict

  • Node-RED is generally considered a good tool, particularly for non-programmers and those looking to quickly prototype and deploy IoT solutions. Its visual interface simplifies the development process and can handle a wide variety of integration tasks.

Why this product is good

  • Node-RED is an open-source flow-based programming tool primarily intended for wiring together hardware devices, APIs, and online services as part of the Internet of Things (IoT). It is visually driven, allowing users to create and deploy complex workflows and automation processes with minimal programming knowledge. Its extensive library of pre-built nodes and its active community contribute to its flexibility and ease of use.

Recommended for

  • IoT enthusiasts
  • Quick prototyping of automation flows
  • Integrating various APIs and services
  • Users who prefer a visual programming interface
  • Educational purposes for teaching programming and IoT concepts

Analysis of Apache Airflow

Overall verdict

  • Yes, Apache Airflow is a good choice for managing complex workflows and data pipelines, particularly for organizations that require a scalable and reliable orchestration tool.

Why this product is good

  • Apache Airflow is considered good because it provides a robust and flexible platform for authoring, scheduling, and monitoring workflows. It is open-source and has a large community that contributes to its continuous improvement. Airflow's modular architecture allows for easy integration with various data sources and destinations, and its UI is user-friendly, enabling effective pipeline visualization and management. Additionally, it offers extensibility through a wide array of plugins and customization options.

Recommended for

    Apache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.

Node-RED videos

+ Add

Intro to Node-RED: Part 1 Fundamentals

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Node-RED and Apache Airflow)

Node-RED

Apache Airflow

Automation
38 38%
Automation
62% 62
Workflow Automation
11 11%
Workflow Automation
89% 89
DevOps Tools
100 100%
DevOps Tools
0% 0
Web Service Automation
25 25%
Web Service Automation
75% 75

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Node-RED and Apache Airflow

Node-RED Reviews

10 n8n.io Alternatives
Node-RED is a flow-based development and programming tool for visual programming presented in the market by IBM for wiring together online services and hardware devices as part of the internet of things. Web browser-based flow editor is available over this software to create JavaScript functions, and elements of apps can be saved or shared for using reprocess. Back in 2016,...
Source: www.justalternativeto.com
Open Source Internet of Things (IoT) Platforms
Node-RED is a visual tool for lining the Internet of Things, i.e., wiring together hardware devices, APIs, and online services in new ways. Built on Node.js, Node-RED describes itself as “a visual means for wiring the Internet of Things.”
Source: jansutris10.medium.com
9 Home Automation Open-Source Platforms for Your projects
If you would like to know how to build your own home automation system with Node-RED, Raspberry Pi, ESP8266 and Arduino, I’ve just released a new course on this subject: Build an Home Automation System for $100.
Source: randomnerdtutorials.com

Apache Airflow Reviews

5 Airflow Alternatives for Data Orchestration
While Apache Airflow continues to be a popular tool for data orchestration, the alternatives presented here offer a range of features and benefits that may better suit certain projects or team preferences. Whether you prioritize simplicity, code-centric design, or the integration of machine learning workflows, there is likely an alternative that meets your needs. By...
Source: www.kdnuggets.com
Top 8 Apache Airflow Alternatives in 2024
Apache Airflow is a workflow streamlining solution aiming at accelerating routine procedures. This article provides a detailed description of Apache Airflow as one of the most popular automation solutions. It also presents and compares alternatives to Airflow, their characteristic features, and recommended application areas. Based on that, each business could decide which...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to...
Source: hevodata.com
A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, Node-RED should be more popular than Apache Airflow. It has been mentiond 127 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Node-RED mentions (127)

  • Erlang-Red: Node-Red with an Erlang Back End
    Ahh, you didn't create Node-RED editor. That's an external project. https://nodered.org/. - Source: Hacker News / about 1 month ago
  • Hardware Metrics Collection with IOT Devices
    Node Red is a unique application that provides a graphical programming environment. With this, you can define input to output transformation with any level of complexity, including reading, parsing, formatting, and output with optional conditionals. For example, here is a flow definition that parses MQTT JSON messages that communicate if a node is alive, and then store this information in InfluxDB:. - Source: dev.to / 6 months ago
  • Home Assistant and ESP Home: How to use MQTT Integration for Dynamic Device Configuration
    For a simple test, I created this Node Red flow that listens to homeassistant/status messages. HA itself will send messages that communicate when its started or when it is about to shutdown. These messages, and a custom message I send from within HA, could be seen:. - Source: dev.to / 6 months ago
  • Data Visualization on the e-RT3 using Node-RED, InfluxDB Cloud, and Grafana
    Node-RED (e-RT3) Flow-based, low code development tool. - Source: dev.to / 11 months ago
  • Top 15 Open-Source Low-Code Projects with the Most GitHub Stars
    GitHub Https://github.com/node-red/node-red GitHub Stars 19.1k Most Recent Update on GitHub 2 weeks ago Open Source License Apache 2.0 Number of Active Contributors This Year 13 Acceptance of External PRs Yes Official Website Https://nodered.org/ Documentation Https://nodered.org/docs/. - Source: dev.to / 11 months ago
View more

Apache Airflow mentions (75)

  • The DOJ Still Wants Google to Sell Off Chrome
    Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 3 months ago
  • 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
    Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 4 months ago
  • Data Orchestration Tool Analysis: Airflow, Dagster, Flyte
    Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 5 months ago
  • AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
    Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 5 months ago
  • Data Engineering with DLT and REST
    This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing Node-RED and Apache Airflow, you can also consider the following products

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Make.com - Tool for workflow automation (Former Integromat)

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.

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