Apache Airflow vs IBM Case Foundation comparison

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13,927 views|10,035 comparisons
96% willing to recommend
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499 views|401 comparisons
85% willing to recommend
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Executive Summary

We performed a comparison between Apache Airflow and IBM Case Foundation 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. IBM Case Foundation Report (Updated: April 2024).
769,065 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
"Apache Airflow is in Python language, making it easy to use and learn.""The initial setup was straightforward and it does not take long to complete.""The solution's UI allows me to collect all the information and see the code lines.""Since Apache works very well on Python, we can manage everything and create pipelines there.""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.""Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion.""We have been quite satisfied with the stability of the solution.""This is a simple tool to automate using Python."

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"The most valuable feature is its stability, which is why we are using it.""The most valuable features are those involving decision making, analysis, and anything related to event documents because those processes are related to content as well.""It provides us the capability of producing b​​usiness processes for documents that are launched immediately when a document comes into the repository.""The client and the IBM content navigation are the solution's most valuable features.""The most valuable feature is the content manager part of the file as it is very stable, robust, and reliable.""The solution is scalable.""Case Foundation provides a strong security boost.""The content management is great."

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Cons
"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.""We cannot run real-time jobs in the solution.""We're currently using version 1.10, but I understand that there's a lot of improvements in version 2. In the earlier version that we're using, we sometimes have problems with maintenance complexity. Actually using Airflow is okay, but maintaining it has been difficult.""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.""The problem with Apache Airflow is that it is an open-source tool. You have to build it into a Kubernetes container, which is not easy to maintain, and I find it to be very clunky.""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.""The documentation must be improved.""The graphical user interface can be improved."

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"IBM needs to update the user interfaces of all its products to make them more intuitive and accessible to beginners. Compared to Microsoft products, IBM solutions are less user-friendly. IBM programs are hard to master. It's a problem in my region because it's hard to find IT staff who can work with IBM.""We are now using microservices but there are some areas where the coordination with FileNet is problematic.""There is a need for more open and flexible integration capabilities, allowing seamless collaboration with a broader spectrum of business process management solutions, beyond the confines of IBM's document management offerings.""There are some features that could be enhanced like the document viewer""​The place of improvement is merging or combining all of the workflow functionality into one seamless tool. Now, there are multiple installations that are different. Case Foundation, before you can put Case Manager and you've got IBM BPM, and the roadmap is there to merge them altogether. But that's the struggle at the moment, it's having multiple installations and disparate workflow applications.​""90% of the feedback we receive states that the UI is not very user-friendly.""The service as it currently stands is out-of-date and lacks flexibility.""The cloud version could use more stability."

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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 →

  • "Pricing is in the mid-range, it is not cheap, but it's not expensive."
  • "This is not an expensive solution and we are using the standard license."
  • "IBM Case Foundation is a little expensive."
  • "The price falls in the middle range—not overly expensive but not extremely affordable either."
  • More IBM Case Foundation 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: A valuable feature includes seamless integration with the document management system, along with robust capabilities in analytics and reporting.
    Top Answer:The price falls in the middle range—not overly expensive but not extremely affordable either. I would rate it five out of ten.
    Top Answer:There is a need for more open and flexible integration capabilities, allowing seamless collaboration with a broader spectrum of business process management solutions, beyond the confines of IBM's… more »
    Ranking
    Views
    13,927
    Comparisons
    10,035
    Reviews
    20
    Average Words per Review
    491
    Rating
    8.0
    Views
    499
    Comparisons
    401
    Reviews
    4
    Average Words per Review
    536
    Rating
    8.3
    Comparisons
    Also Known As
    Airflow
    Case Foundation, FileNet Business Process Manager
    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.”

    IBM Case Foundation is for organizations that need to harness unstructured information and integrate it with business processes to drive critical business decisions. It enables organizations to create, manage and optimize case-based processes and is designed to decrease development costs while significantly improving process performance. Case Foundation links specific pieces of content with a structured workflow. It's an on ramp for organizations that choose to move from document-centric workflow solutions to the advanced capabilities of IBM Case Manager.
    Sample Customers
    Agari, WePay, Astronomer
    Suncorp Group Limited
    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%
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm16%
    Government16%
    Insurance Company10%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business31%
    Midsize Enterprise31%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise65%
    Buyer's Guide
    Apache Airflow vs. IBM Case Foundation
    April 2024
    Find out what your peers are saying about Apache Airflow vs. IBM Case Foundation and other solutions. Updated: April 2024.
    769,065 professionals have used our research since 2012.

    Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while IBM Case Foundation is ranked 22nd in Business Process Management (BPM) with 12 reviews. Apache Airflow is rated 8.0, while IBM Case Foundation is rated 7.8. 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 IBM Case Foundation writes "Streamlined business process automation with user-friendly design". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and AWS Step Functions, whereas IBM Case Foundation is most compared with IBM Business Automation Workflow. See our Apache Airflow vs. IBM Case Foundation 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.