Apache Airflow vs Nintex Process Platform comparison

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13,533 views|9,821 comparisons
96% willing to recommend
Nintex Logo
5,214 views|2,663 comparisons
90% willing to recommend
Comparison Buyer's Guide
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: April 2024).
770,141 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
"I like the UI rework, it's much easier.""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.""The solution's UI allows me to collect all the information and see the code lines.""The initial setup was straightforward and it does not take long to complete.""Apache Airflow is easy to use and can monitor task execution easily. For instance, when performing setup tasks, you can conveniently view the logs without delving into the job details.""One of its most valuable features is the graphical user interface, providing a visual representation of the pipeline status, successes, failures, and informative developer messages.""The user interface for monitoring and managing workflows has been excellent, particularly in the latest version. c""Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes."

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"It's easy to configure your set of rules to make the form controls work perfectly, removing manual work and making processes seamless.""It is very easy to use events. K2 has useful tools.""The setup is easy.""K2 is reasonably priced.""The solution helped us automate several processes we used to do manually.""It has helped us a lot, especially during the initial phase of a project where most of the things are done on paper.""The latest version of Nintex has many features. We have a clear roadmap and the necessary application to integrate it into our platform.""Out of box connectivity with UiPath."

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Cons
"We cannot run real-time jobs in the solution.""Apache Airflow could be improved with the addition of more frameworks.""For admins, there should be improved logging capabilities because Apache Airflow does have logging, but it's limited to some database data.""There is an area for improvement in onboarding new people. They should make it simple for newcomers. Else, we have to put a senior engineer to operate it.""I would like to see it more friendly for other use cases.""We have faced scenarios where Apache Airflow becomes non-responsive, leading to job failures. To resolve such situations, we had to manually reboot Apache Airflow since it doesn't provide an option to restart within the application. This necessitated modifying some configurations to initiate a restart of all Apache Airflow components. Although Apache Airflow is generally dependable, it may occasionally encounter glitches that can disrupt production flows and batches.""The graphical user interface can be improved.""Apache Airflow could be improved by integrating some versioning principles."

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"We'd like to have integration with SharePoint.""Difficult to include external partners with the solution deployed on-premise.""Hawkeye is emerging as a reporting solution, but as a V1 product it’s not very useful yet.""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.""It's very tedious to manage.""The licensing needs to be improved. Right now, we find it's getting more expensive to use the product.""While Nintex Workflow has pretty robust troubleshooting abilities, I think that improving the default logging and notifications would be helpful.""Unfortunately, Nintex Workflow is not that stable. We are looking at shifting to another tool."

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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:Apache Airflow is easy to use and can monitor task execution easily. For instance, when performing setup tasks, you can conveniently view the logs without delving into the job details.
    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
    13,533
    Comparisons
    9,821
    Reviews
    22
    Average Words per Review
    492
    Rating
    8.0
    Views
    5,214
    Comparisons
    2,663
    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 Provider21%
    Financial Services Firm21%
    Media Company16%
    Pharma/Biotech Company5%
    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 Company18%
    Financial Services Firm13%
    Manufacturing Company8%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business36%
    Midsize Enterprise14%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise16%
    Large Enterprise63%
    Buyer's Guide
    Apache Airflow vs. Nintex Process Platform
    April 2024
    Find out what your peers are saying about Apache Airflow vs. Nintex Process Platform and other solutions. Updated: April 2024.
    770,141 professionals have used our research since 2012.

    Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while Nintex Process Platform is ranked 9th in Business Process Management (BPM) with 21 reviews. Apache Airflow is rated 8.0, 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 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.