Apache Airflow vs Boomi AtomSphere Flow comparison

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Executive Summary

We performed a comparison between Apache Airflow and Boomi AtomSphere Flow 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. Boomi AtomSphere Flow Report (Updated: March 2024).
765,234 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 best feature is the customization.""I like the UI rework, it's much easier.""We have been quite satisfied with the stability of the solution.""The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow.""Since Apache works very well on Python, we can manage everything and create pipelines there.""Designing processes and workflows is easier, and it assists in coordinating all of the different processes.""This is a simple tool to automate using Python.""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."

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"The solution's most valuable feature is its core integration with Boomi AtomSphere because it's extremely easy to tap into any informational system of a company.""Boomi AtomSphere Flow is integrated through APIs, it exposes the API and any product can call the APIs in the queue. Additionally, it is secure.""Boomi AtomSphere Flow is very easy to develop and maintain compared to other tools like SAP HANA Cloud Integration or Cloud Platform.""In the long run, if you have a good team, solution architect, and an architect from Boomi's side, then it is a good tool from an ROI perspective since it can help save money."

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Cons
"There is a need for more features on experimental evolution steps.""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.""Apache Airflow could be improved by integrating some versioning principles.""UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements.""Enhancements become necessary when scaling it up from a few thousand workflows to a more extensive scale of five thousand or ten thousand workflows.""We cannot run real-time jobs in the solution.""I would like to see some no-code capabilities and drag and drop abilities in Airflow.""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."

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"The development effort with Boomi AtomSphere Flow is more when you compare it with other tools, which is a drawback and an area of improvement.""The solution's user interface building needs improvement.""The solution could improve by being more user-friendly. The whole solution is used through an interface and it could always be improved.""Its stability could be improved."

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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."
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  • "When you use Boomi AtomSphere Flow in production, you have to pay for licenses. The solution is not expensive but it could be cheaper."
  • "Since its pricing positioning has a different construction with respect to its competitors, the solution is sometimes way more expensive and sometimes less expensive."
  • More Boomi AtomSphere Flow 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 solution's most valuable feature is its core integration with Boomi AtomSphere because it's extremely easy to tap into any informational system of a company.
    Top Answer:Since its pricing positioning has a different construction with respect to its competitors, the solution is sometimes way more expensive and sometimes less expensive.
    Top Answer:We are an Italian company, and we see difficulty proposing products like Boomi AtomSphere Flow to the government due to its cloud nature. The solution's user interface building needs improvement.
    Ranking
    Views
    14,418
    Comparisons
    10,317
    Reviews
    17
    Average Words per Review
    469
    Rating
    7.8
    Views
    703
    Comparisons
    576
    Reviews
    3
    Average Words per Review
    688
    Rating
    8.0
    Comparisons
    Also Known As
    Airflow
    Boomi Flow
    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.”

    Boomi Flow is a modern, cloud-native service for creating customer journeys and automating simple and sophisticated workflows that accelerate your business outcomes.

    Sample Customers
    Agari, WePay, Astronomer
    bioventus, AM Transport Services
    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%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm11%
    Manufacturing Company9%
    Government5%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise7%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise14%
    Large Enterprise61%
    Buyer's Guide
    Apache Airflow vs. Boomi AtomSphere Flow
    March 2024
    Find out what your peers are saying about Apache Airflow vs. Boomi AtomSphere Flow and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Apache Airflow is ranked 3rd in Business Process Management (BPM) with 29 reviews while Boomi AtomSphere Flow is ranked 24th in Business Process Management (BPM) with 4 reviews. Apache Airflow is rated 7.8, while Boomi AtomSphere Flow 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 Boomi AtomSphere Flow writes "A competent solution for integrating enterprise-grade software". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, AWS Step Functions and Appian, whereas Boomi AtomSphere Flow is most compared with Microsoft Power Apps, Camunda, Pega BPM, Mendix and AWS Step Functions. See our Apache Airflow vs. Boomi AtomSphere Flow 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.