Apache Airflow vs Nintex Process Platform comparison

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Executive Summary

We performed a comparison between Apache Airflow and Nintex Process Platform based on real PeerSpot user reviews.

Find out in this report how the two Business Process Management (BPM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Apache Airflow vs. Nintex Process Platform Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product is stable.""Apache Airflow's best feature is its flexibility.""This is a simple tool to automate using Python.""The initial setup was straightforward and it does not take long to complete.""The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.""We have been quite satisfied with the stability of the solution.""We're running it on a virtual server, which we can easily upgrade if needed.""The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."

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"K2 is reasonably priced.""The most valuable features of this solution are that it's no code, it's very flexible, and it's easy to design.""It has helped us a lot, especially during the initial phase of a project where most of the things are done on paper.""We were able to meet all of the requirements for functionality that were specified, and we did not experience challenges where we had to compromise on functionality.""The solution has helped us to automate our business processes, our approval systems, and automation for quickly developing on SharePoint on-prem and SharePoint online.""It's easy to configure your set of rules to make the form controls work perfectly, removing manual work and making processes seamless.""K2's best feature is that it can solve complex tasks, issues, and projects with little coding.""Allows to use workflow for simple approvals and LazyApproval. The feature is easy to implement for mobile approval."

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Cons
"The graphical user interface can be improved.""Adding more automated components in Apache Airflow for basic things like exporting the data would be helpful.""We cannot run real-time jobs in the solution.""It would be beneficial to improve the pricing structure.""The solution could be improved by simplifying the integration process.""Technical support is an area that needs improvement.""I would like to see some no-code capabilities and drag and drop abilities in Airflow.""The automation capabilities could be improved; a visual workflow designer and a graphical tool to reduce coding would be very helpful. But for now, it's sufficient for our simple workflows."

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"K2 is a workflow solution, and there is no RPA solution with K2. This is where K2 lacks a little bit. It is just a heavy workflow solution. It doesn't have a supplemental product like RPA. If you want to use RPA, you have to use Blue Prism, UIPath, or something else. If you use Nintex, it has an RPA solution. It is a form-based application, and they are doing everything electronically. The initial investment in K2 is heavy because it is a BPM software. It does not have a low cost because they charge you the same for one workflow or 100 workflows.""It is very flexible because you can design your own main forms, but if there were some templates according to your market, it would be more useful for a new customer. That would make K2 more user friendly and easier to use.""The product’s support for the mobile platform and its ability to handle artificial loads could be better.""The interface could be better and more language support is needed in the development environment or in the solutions platform in general.""The solution does not integrate with many platforms.""The tool lacks to offer support for the Arabic language, and it needs consideration.""The licensing needs to be improved. Right now, we find it's getting more expensive to use the product.""Nintex is still at the starting point of integrating with AI. It has integrated with a very small piece of artificial intelligence., like only integrated with the Google Cloud. There is a benefit, like a no-code and low-code solution. But, again, if you are a developer, especially if you are a hardcore developer, you are using your code knowledge, its skills, and all. And, suddenly, you are moving into the low-code solution, and then you will feel, like, so many things you can't achieve with the low-code solution."

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Pricing and Cost Advice
  • "Apache Airflow is a free solution that can be downloaded and ready for use at any moment."
  • "The pricing for the product is reasonable."
  • "Although Airflow is open source software, there's also commercial support for it by Astronomer. We personally don't use the commercial support, but it's always an option if you don't mind the extra cost."
  • "We are using the open-source version of Apache Airflow."
  • "We use a community edition of Apache Airflow. It is open source and free."
  • "Apache Airflow is open-source and free of charge."
  • "It's open-source."
  • "The solution is open source so is free."
  • More Apache Airflow Pricing and Cost Advice →

  • "Nintex products are expensive, but valuable. Licensing in on-premise was historically based on a perpetual model, where you’d license per Web front-end. However, they are switching exclusively to a consumption (subscription) model, where you purchase the number of workflows you think you’ll use in your environment, and can scale up from there."
  • "Offering a licensing model that allows for multiple small workflows would be a huge improvement to an already great platform."
  • "Our maintenance costs are reduced."
  • "The annual support costs are expensive."
  • "Comparatively, it's expensive."
  • "We pay on a yearly basis. It's my understanding that we pay approximately $11,000/year."
  • "The initial investment in K2 is heavy. Currently, the expenditure is $28,000 for a year. After we go to the cloud, it is going to be per seat and probably cheaper. Currently, there are unlimited users."
  • "There is an initial fee when purchasing and a fee for maintenance afterward."
  • More Nintex Process Platform Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Camunda Platform allows for visual demonstration and presentation of business process flows. The flexible Java-based option was a big win for us and allows for the integration of microservices very… more »
    Top Answer:Since it's widely adopted by the community, Apache Airflow is a user-friendly solution.
    Top Answer:The latest version of Nintex has many features. We have a clear roadmap and the necessary application to integrate it into our platform.
    Top Answer:The solution doesn’t have an extra fee. We are compatible with the package.
    Top Answer:The solution does not integrate with many platforms.
    Ranking
    Views
    14,418
    Comparisons
    10,317
    Reviews
    17
    Average Words per Review
    469
    Rating
    7.8
    Views
    5,505
    Comparisons
    2,762
    Reviews
    17
    Average Words per Review
    484
    Rating
    8.1
    Comparisons
    Also Known As
    Airflow
    K2 blackpearl, K2 Five, Nintex Workflow
    Learn More
    Overview

    Apache Airflow is an open-source workflow management system (WMS) that is primarily used to programmatically author, orchestrate, schedule, and monitor data pipelines as well as workflows. The solution makes it possible for you to manage your data pipelines by authoring workflows as directed acyclic graphs (DAGs) of tasks. By using Apache Airflow, you can orchestrate data pipelines over object stores and data warehouses, run workflows that are not data-related, and can also create and manage scripted data pipelines as code (Python). 

    Apache Airflow Features

    Apache Airflow has many valuable key features. Some of the most useful ones include:

    • Smart sensor: In Apache Airflow, tasks are executed sequentially. The smart sensors are executed in bundles, and therefore consume fewer resources.
    • Dockerfile: By using Apache Airflow’s dockerfile feature, you can run your business’s Airflow code without having to document and automate the process of running Airflow on a server. 
    • Scalability: Because Apache Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers, you can easily scale it. 
    • Plug-and-play operators: With Apache Airflow, you can choose from several plug-and-play operators that are ready to execute your tasks on many third-party services.

    Apache Airflow Benefits

    There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:

    • User friendly: Using Apache Airflow requires minimal python knowledge to get started.
    • Intuitive user interface: The Apache Airflow user interface enables you to visualize pipelines running in production, monitor progress, and also troubleshoot issues when needed.
    • Easy integration: Apache Airflow can easily be integrated with cloud platforms (Google, AWS, Azure, etc).
    • Visual DAGs: Apache Airflow’s visual DAGs provide data lineage, which facilitates debugging of data flows and also aids in auditing and data governance. 
    • Flexibility: Apache Airflow provides you with several ways to make DAG objects more flexible. At runtime, a context variable is passed to each workflow execution, which is quickly incorporated into an SQL statement that includes the run ID, execution date, and last and next run times.
    • Multiple deployment options: With Apache Airflow, you have several options for deployment, including self-service, open source, or a managed service.
    • Several data source connections: Apache Airflow can connect to a variety of data sources, including APIs, databases, data warehouses, and more.  

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Apache Airflow solution.

    A Senior Solutions Architect/Software Architect says, “The product integrates well with other pipelines and solutions. The ease of building different processes is very valuable to us. The difference between Kafka and Airflow, is that it's better for dealing with the specific flows that we want to do some transformation. It's very easy to create flows.”

    An Assistant Manager at a comms service provider mentions, “The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.”

    A Senior Software Engineer at a pharma/biotech company comments that he likes Apache Airflow because it is “Feature rich, open-source, and good for building data pipelines.”

    Discover, automate, and optimize your business processes with the Nintex Process Platform. This powerful and user-friendly platform offers comprehensive process automation and intelligence. Easily discover, map, and manage your processes, automate workflows, eliminate paper forms, and accelerate tasks with RPA bots. Collaborate with your team using Nintex Automation Cloud Services and optimize your processes through data-driven insights. Monitor and analyze your processes to identify and address issues, and make updates based on data for continuous improvement. Achieve process excellence with the Nintex Process Platform.

    Sample Customers
    Agari, WePay, Astronomer
    SEA Corp, Omnicom Group, Verizon, STIHL
    Top Industries
    REVIEWERS
    Comms Service Provider22%
    Financial Services Firm22%
    Media Company17%
    Pharma/Biotech Company6%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company14%
    Manufacturing Company7%
    Retailer5%
    REVIEWERS
    Financial Services Firm20%
    Manufacturing Company15%
    Energy/Utilities Company15%
    Insurance Company10%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm12%
    Manufacturing Company8%
    Government7%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise6%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business36%
    Midsize Enterprise14%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise65%
    Buyer's Guide
    Apache Airflow vs. Nintex Process Platform
    March 2024
    Find out what your peers are saying about Apache Airflow vs. Nintex Process Platform and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Apache Airflow is ranked 3rd in Business Process Management (BPM) with 29 reviews while Nintex Process Platform is ranked 9th in Business Process Management (BPM) with 21 reviews. Apache Airflow is rated 7.8, while Nintex Process Platform is rated 8.0. The top reviewer of Apache Airflow writes "Enable seamless integration with various connectivity and integrated services, including BigQuery and Python operators ". On the other hand, the top reviewer of Nintex Process Platform writes "Offers good integration capabilities and easy to learn and good stability". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, AWS Step Functions and IBM Business Automation Workflow, whereas Nintex Process Platform is most compared with Camunda, IBM BPM, Appian, Pega BPM and SAP Signavio Process Manager. See our Apache Airflow vs. Nintex Process Platform report.

    See our list of best Business Process Management (BPM) vendors.

    We monitor all Business Process Management (BPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.