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).
772,649 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 solution is quite configurable so it is easy to code within a configuration kind of environment.""This is a simple tool to automate using Python.""It's stable.""The best feature is the customization.""The initial setup was straightforward and it does not take long to complete.""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.""Development on Apache Airflow is really fast, and it's easy to use with the newer updates. Everything is in Python, so it's not hard to understand. They also have a graphical view, so if you are not a programmer and you are just an administrator, you can easily track everything and see if everything is working or not.""Apache Airflow's best feature is its flexibility."

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"Only Nintex has the feature which allows attachments to an email.​""The solution offers very good integration capabilities. We've never had issues integrating it without solutions.""It provides data accuracy with fewer failures.""It's easy to configure your set of rules to make the form controls work perfectly, removing manual work and making processes seamless.""The Vizio-style designer that runs in the browser is, to me, by far the most valuable feature of the solution. It means that the customer doesn’t have to install any client tools to create powerful workflows.""It creates workflows to handle business processes. It allows us to route approvals to users without human intervention.""It is very easy to use events. K2 has useful tools.""Easily maintained and customization is quite simple."

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Cons
"Apache Airflow should have better integration with cloud platforms.""The solution could be improved by simplifying the integration process.""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.""We need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed.""The scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not.""Apache Airflow could be improved by integrating some versioning principles.""One specific feature that is missing from Airflow is that the steps of your workflow are not pipelined, meaning the stageless steps of any workflow. Not every workflow can be implemented within Airflow.""The documentation must be improved."

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"The cost of the solution is high and has room for improvement.""It's very tedious to manage.""At times, issues arise in certain scenarios. In such cases, the versioning can become quite difficult. There may be no other way but to restart the entire process or rectify it at that point.""We cannot use the same solution on cloud.""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.""Currently, it's taking quite some time to deploy a package, it needs improvement""The solution needs more RPA and AI features.""The license pricing is too high currently for Nintex Workflow."

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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 Provider20%
    Financial Services Firm20%
    Media Company15%
    Non Profit5%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company14%
    Manufacturing Company7%
    Retailer5%
    REVIEWERS
    Financial Services Firm20%
    Energy/Utilities Company15%
    Manufacturing Company15%
    Insurance Company10%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm14%
    Manufacturing Company8%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise6%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business36%
    Midsize Enterprise14%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise16%
    Large Enterprise62%
    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.
    772,649 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, IBM BPM, Informatica Cloud API and App Integration, IBM Business Automation Workflow and AWS Step Functions, whereas Nintex Process Platform is most compared with Camunda, IBM BPM, Appian, Pega BPM and IBM Business Automation Workflow. 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.