ADONIS vs Apache Airflow comparison

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BOC Group Logo
3,024 views|2,063 comparisons
87% willing to recommend
Apache Logo
13,533 views|9,821 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between ADONIS and Apache Airflow 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 ADONIS vs. Apache Airflow Report (Updated: April 2024).
769,479 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
"It is a stable solution.""The best features of the system include good analytics for business processes including the calculation of time and cost.""We haven't ever needed to take service breaks and we can scale it throughout our company without any problem.""It's easy to handle the solution thanks to being drag and drop""It's a very complete solution.""It seems that the process mapping and modeling features are well and thoroughly covered.""The product is useful for designing business processes and for repositories."

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"The user interface for monitoring and managing workflows has been excellent, particularly in the latest version. c""The solution's UI allows me to collect all the information and see the code lines.""The UI is very simple and easy to learn.""I found the following features very useful: DAG - Workload management and orchestration of tasks using.""The initial setup was straightforward and it does not take long to complete.""I like the UI rework, it's much easier.""The product integrates well with other pipelines and solutions.""Apache Airflow's best feature is its flexibility."

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Cons
"If there's no WiFi connection, you can't access ADONIS.""The solution is in English and we have added certain parts in Russian as this is easier for our students. It would be useful to have the system in Russian.""We have to use a different solution to automate our business processes.""Rearranging things to get information from the objects and the model together to get a report out of them could be done better.""There is a function to check if the model BPMN is being used correctly, but the report from the check is not always very clear.""This solution would be improved if 24/7 support were available.""When you update a page, the information on the quick links sidebar on the left side doesn't stay in the same place. It moves down, so you have to scroll to find it. That's not very user-friendly."

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"The dashboard is connected into the BPM flow that could be improved.""Airflow should support the dynamic drag creation.""The solution could be improved by simplifying the integration process.""The platform's stability needs improvement, particularly regarding occasional interruptions due to networking issues.""Programmatically, it's very good, and it doesn't have any competitors, but you cannot develop anything in Airflow UI. You need to develop everything within the program. In the market, other tools have come up recently as competitors to Airflow, and they also give graphical programming options, whereas Airflow doesn't provide that feature currently. All the DAGs you want to build need to be coded in Python.""I would like to see it more friendly for other use cases.""Apache Airflow could be improved by integrating some versioning principles.""The documentation must be improved."

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Pricing and Cost Advice
  • "The product's pricing is medium, so I rate it a five out of ten."
  • "The product’s price is quite competitive."
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  • "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 →

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    Questions from the Community
    Top Answer:It's easy to handle the solution thanks to being drag and drop
    Top Answer:Rearranging things to get information from the objects and the model together to get a report out of them could be done better.
    Top Answer:I design, maintain, and govern the tool to roll it out in the company. I use the solution for business process modeling. For ADOIT, the solution is used for enterprise architecture management or the… more »
    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.
    Ranking
    Views
    3,024
    Comparisons
    2,063
    Reviews
    3
    Average Words per Review
    323
    Rating
    8.7
    Views
    13,533
    Comparisons
    9,821
    Reviews
    22
    Average Words per Review
    492
    Rating
    8.0
    Comparisons
    Also Known As
    Airflow
    Learn More
    Overview

    ADONIS BPM suite is users' best-rated tool for process management, analysis and optimization, trusted by SMEs and large corporations worldwide. It helps you transform your business and create competitive advantage by streamlining processes, enhancing operational efficiency, boosting transparency and creating a customer-centric organization. You can start creating your digital twin with ADONIS already today, as the cloud-based ADONIS:Community Edition is available for free. For more information please visit www.boc-group.com/en/adonis/.

    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.”

    Sample Customers
    Trusted by small to large enterprises worldwide: ABB, Allianz, Comcast, ERGO, Emerson, Glencore, Lincoln Financial Group, Marel, Raiffeisen bank, Schroders, Southern Water, Stadt Wien, UNIQA, VAUDE, Voestalpine, Volksbank, Vorwerk
    Agari, WePay, Astronomer
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm12%
    Comms Service Provider8%
    Manufacturing Company7%
    REVIEWERS
    Comms Service Provider21%
    Financial Services Firm21%
    Media Company16%
    Pharma/Biotech Company5%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company14%
    Manufacturing Company7%
    Retailer5%
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise29%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise18%
    Large Enterprise58%
    REVIEWERS
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    ADONIS vs. Apache Airflow
    April 2024
    Find out what your peers are saying about ADONIS vs. Apache Airflow and other solutions. Updated: April 2024.
    769,479 professionals have used our research since 2012.

    ADONIS is ranked 17th in Business Process Management (BPM) with 7 reviews while Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews. ADONIS is rated 7.8, while Apache Airflow is rated 8.0. The top reviewer of ADONIS writes "A strong choice for business process modeling with an easy-to-use drag and drop approach". On the other hand, the top reviewer of Apache Airflow writes "Enable seamless integration with various connectivity and integrated services, including BigQuery and Python operators ". ADONIS is most compared with ARIS BPA, SAP Signavio Process Manager, Camunda, Bizagi and BIC Platform , whereas Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and AWS Step Functions. See our ADONIS vs. Apache Airflow 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.