Software Alternatives, Accelerators & Startups

Pipefy VS Apache Airflow

Compare Pipefy VS Apache Airflow and see what are their differences

Pipefy logo Pipefy

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

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Pipefy Landing page
    Landing page //
    2023-05-09

Pipefy is a workflow management software that makes business processes such as purchasing, onboarding, and recruiting hassle-free. By empowering non-technical workers to create and automate workflows without IT support, Pipefy enhances speed and delivers higher quality outcomes

  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Pipefy

Website
pipefy.com
$ Details
freemium $22.0 / Monthly (user/month)
Platforms
Google Chrome Internet Explorer Windows Browser Web Android iOS Linux Mac OSX Chrome OS
Release Date
2016 March
Startup details
Country
United States
State
California
Founder(s)
Alessio Alionco
Employees
250 - 499

Apache Airflow

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Pipefy features and specs

  • User-Friendly Interface
    Pipefy offers a clean and intuitive user interface that makes it easy for users to navigate and manage processes without extensive training.
  • Customizable Workflows
    The platform provides highly customizable workflows that allow users to tailor processes to their specific needs, enabling greater control and efficiency.
  • Automation
    Pipefy includes robust automation features that help streamline repetitive tasks, reduce manual errors, and save time.
  • Integrations
    Pipefy supports integrations with various other tools and services, enhancing its functionality and allowing for seamless data flow between applications.
  • Collaboration Tools
    The platform offers various collaboration tools like comments, notifications, and shared views, which facilitate team communication and coordination.

Possible disadvantages of Pipefy

  • Pricing
    The cost can be relatively high, especially for small businesses or startups with limited budgets. Some features are only available in higher-tier plans.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, mastering the more advanced features and customization options may require some time and effort.
  • Limited Mobile Functionality
    The mobile app lacks some functionality compared to the desktop version, which can be a limiting factor for users who need full access on the go.
  • Performance Issues
    Some users have reported performance issues such as slow load times and occasional glitches, which can hinder productivity.
  • Customer Support
    Though generally responsive, some users have noted that customer support can sometimes be slow to resolve complex issues.

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 Pipefy

Overall verdict

  • Pipefy is generally considered a strong option for businesses and teams seeking a versatile and intuitive workflow management solution. While every organization will have particular needs, the feedback from many users indicates high satisfaction with its capabilities, adaptability, and ease of use.

Why this product is good

  • Pipefy is a robust workflow management platform that allows teams to organize and optimize their processes. It is praised for its user-friendly interface, flexibility, and powerful automation features. Users appreciate the ability to easily create custom workflows without requiring extensive technical knowledge. Its integration capabilities with various tools and applications also enhance its functionality, making it a strong choice for businesses looking to improve operational efficiency.

Recommended for

  • Small to medium-sized businesses looking to streamline their workflow processes.
  • Teams needing a highly customizable and user-friendly workflow management tool.
  • Organizations aiming to automate repetitive tasks and integrate seamlessly with other tools.
  • Business operations that prefer a platform with strong customer support and continuous updates.

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.

Pipefy videos

How to Optimize Company Processes with Pipefy (you might not need a CRM)

More videos:

Apache Airflow videos

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Pipefy and Apache Airflow)
Workflow Automation
41 41%
59% 59
Automation
35 35%
65% 65
Project Management
100 100%
0% 0
Web Service Automation
41 41%
59% 59

User comments

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Reviews

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

Pipefy Reviews

Top Workflow Management Systems on the Market
Your team members see their work in the My Work section, where they find all the cards currently assigned to them. They also see some extra information there, like the pipe and phase of each card. Some of this information may not always be relevant, but Pipefy follows the philosophy that it’s better to have something and not need it than to need it.
11 Business Process Management (BPM) Software for SMBs
Pipefy produces automatic reports based on active work. Since your operations change daily, It helps you adjust your processes according to the changes. Forget about loading the output manually to the back-office system; just describe the whole process from beginning to the end, and Pipefy will do the rest and transform the way you work.
Source: geekflare.com
Pipefy Review — How Good Is It In 2023?
Pipefy’s unique feature is databases — it lets you store information relevant to your processes inside Pipefy without having to rely on any external storage solutions. You can then reuse this information in other pipes. This can be very convenient.

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...
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.
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.

Social recommendations and mentions

Based on our record, Apache Airflow seems to be more popular. It has been mentiond 75 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.

Pipefy mentions (0)

We have not tracked any mentions of Pipefy yet. Tracking of Pipefy recommendations started around Mar 2021.

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 / 4 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 / 6 months ago
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What are some alternatives?

When comparing Pipefy and Apache Airflow, you can also consider the following products

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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

Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.

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.

Nintex - Cloud-based digital workflow management automation platform