Software Alternatives, Accelerators & Startups

Nintex VS Apache Airflow

Compare Nintex VS Apache Airflow and see what are their differences

Nintex logo Nintex

Cloud-based digital workflow management automation platform

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Nintex Landing page
    Landing page //
    2023-06-21
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Nintex

Website
nintex.com
$ Details
-
Release Date
2006 January
Startup details
Country
United States
State
Washington
City
Bellevue
Founder(s)
Brett Campbell
Employees
250 - 499

Nintex features and specs

  • Ease of Use
    Nintex provides a user-friendly interface with drag-and-drop functionality, making it easy for non-technical users to design and automate workflows.
  • Integrations
    Nintex integrates seamlessly with popular platforms like SharePoint, Office 365, and other enterprise applications, allowing for efficient data flow across systems.
  • Comprehensive Features
    Offers a wide range of features including workflow automation, document generation, process mapping, and robotic process automation, catering to various business needs.
  • Scalability
    Nintex is designed to scale with your business, supporting small teams to large enterprises without compromising performance.
  • Strong Community Support
    Has an active user community and extensive documentation, providing users with plenty of resources for troubleshooting and optimization.

Possible disadvantages of Nintex

  • Cost
    Nintex can be expensive, especially for small and medium-sized businesses. The costs can add up with the need for multiple licenses and additional features.
  • Complexity in Advanced Workflows
    While the drag-and-drop interface is easy for simple tasks, more complex workflows can become cumbersome and require advanced knowledge to implement effectively.
  • Performance Issues
    Users have reported performance issues when dealing with large volumes of data or when running multiple complex workflows simultaneously.
  • Customization Limitations
    There are limitations to customization and flexibility, particularly when compared to more code-centric automation tools.
  • Initial Learning Curve
    Despite its user-friendly interface, there is an initial learning curve associated with understanding all its features and best practices for implementation.

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.

Nintex videos

Streamline Document Review & Approval Processes with Nintex for Office 365

More videos:

  • Review - Nintex Forms Overview
  • Review - Document Intake and Review w/ Box, Nintex and Workshare
  • Review - Contract creation, review, approval and signature with Box, Salesforce, Nintex and Docusign

Apache Airflow videos

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Nintex and Apache Airflow)
Project Management
100 100%
0% 0
Workflow Automation
35 35%
65% 65
Automation
26 26%
74% 74
Web Service Automation
0 0%
100% 100

User comments

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Reviews

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

Nintex Reviews

Top 5 Microsoft Power Automate alternatives for 2024
Nintex generates papers, forms, and maps, among other elements that allow for seamless communication and workflow between departments and teams by synchronizing and conducting activities in cooperation on a single platform,” Tilley explains.
Source: www.jotform.com
7 Best Business Process Management Tools (2023)
Any business process that requires approvals, particularly if those approvals change, is well suited to manage using the Nintex Platform. Nintex also includes a robotic process automation tool that enables the intelligent automation of manual operations utilizing any software that is available from a user’s workstation.
11 Business Process Management (BPM) Software for SMBs
Nintex will help eliminate the manual and repetitive work with automated workflows and capture information faster in the proper manner. It can monitor the processes to identify and quickly address the issues and point the process improvements by using data visualization.
Source: geekflare.com
5 PowerApps Alternatives
Nintex is a solution from the Business Process Management paradigm. It allows users to achieve much of what they would do through PowerApps. and also go much beyond. Beyond building custom application interfaces, applying complex business logic, Nintex even allows users to write their own Boolean logic.
Top 15 Workflow Management Software Solutions
What makes Nintex a top workflow management software solution? To start, it enables you to easily streamline processes, integrate content, and empower employees wherever they are located. The app sports a people-driven design and offers people-friendly participation to improve processes – both simple everyday ones to complex elaborate procedures. The best part is you can...

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.

Nintex mentions (0)

We have not tracked any mentions of Nintex yet. Tracking of Nintex 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 / 2 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 / 3 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 / 4 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 Nintex 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)

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

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

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

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.