Apache Airflow vs TIBCO ActiveMatrix BPM comparison

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13,533 views|9,821 comparisons
96% willing to recommend
TIBCO Logo
718 views|538 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Apache Airflow and TIBCO ActiveMatrix BPM 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. TIBCO ActiveMatrix BPM 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
"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.""Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse 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.""Designing processes and workflows is easier, and it assists in coordinating all of the different processes.""Since Apache works very well on Python, we can manage everything and create pipelines there.""The tool is user-friendly."

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"The product's initial setup phase is straightforward.""The capacity for distributing the jobs in a workflow is an important feature.""For specific situations this can be a good solution and a simplified interface to work with.""The scheduling and the calendar are very useful.""It is the best product because of its stability. ActiveMatrix 5.x is highly stable in production, and the downtime is very low. I have worked on a lot of service projects, and the engine is very stable, robust, and scalable. The development and change requests can be pushed quickly, and the mapper activity and SSLT kind of features are also good. It is easy to do changes, testing, and deployment. Its deployment is very easy, and we can automate a lot of scripts for our on-premises solution. I work for an investment bank, and we have automated a lot of processes for our customers. Previously, we used to develop scripts and tools. With version 6.x, everything is moved to Maven and other things. Environment handling is done mostly through DevOps tools. As compared to Mulesoft, the deployment and configuration are very easy in TIBCO."

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Cons
"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.""The graphical user interface can be improved.""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 solution could be improved by simplifying the integration process.""UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements.""The documentation must be improved.""We need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed.""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."

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"The scalability of the product is an area of concern where improvements are required.""Technical support needs to be streamlined.""ActiveMatrix is in the middle field. MuleDB is more on the engineering side with Java and other things. SnapLogic is there are on the higher side with very low coding. TIBCO stays in the middle like IBM or Oracle. TIBCO can move towards IBM's way of doing. IBM has a big market and many varieties of products and good integration, which TIBCO doesn't have. It can have better integration. TIBCO's transition to the cloud is a little slow. As compared to Dell, Boomi, and Mulesoft. TIBCO took the steps a little later. TIBCO's ID was far better and easier to work with previously. TIBCO's 5.x ID was very good, and the development environment and the transition were easy. Version 6.5 onwards, it is a stable product, but it would be good if they can do something similar to version 5.4 with version 6. They should concentrate on this API market. It will give them the strength and the ability to grab the market back.""The maintenance of the package could be improved.""The product is missing some means of addressing more complex BPM constructs and should interface with more platforms easily."

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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 →

  • "There are some discussions about perpetual licenses and conversions, but I'm not much familiar with them."
  • "TIBCO ActiveMatrix BPM is an expensive tool compared to others."
  • More TIBCO ActiveMatrix BPM 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 product's initial setup phase is straightforward.
    Top Answer:The product fails to offer good integration with REST, making it an area where improvements are required. The scalability of the product is an area of concern where improvements are required. The… more »
    Top Answer:I use the solution in my company for case management and business process management. In general, there are two kinds of use cases attached to the product. For case management, you need to have… more »
    Ranking
    Views
    13,533
    Comparisons
    9,821
    Reviews
    22
    Average Words per Review
    492
    Rating
    8.0
    Views
    718
    Comparisons
    538
    Reviews
    2
    Average Words per Review
    622
    Rating
    7.5
    Comparisons
    Also Known As
    Airflow
    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.”

    TIBCO ActiveMatrix BPM is used to develop, deploy, execute and manage Business Process Management centric applications. Use TIBCO Business Studio BPM Edition in conjunction with ActiveMatrix BPM to model business processes. It helps to encompass applications that primarily automate both: business processes (sequences of tasks) to be executed by human users, and technical processes (the flow of data) to be executed by enterprise applications.
    Sample Customers
    Agari, WePay, Astronomer
    ADIS, Citi, Bank of Montreal, First Citizens Bank
    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
    Financial Services Firm39%
    Computer Software Company9%
    Manufacturing Company9%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise15%
    Large Enterprise74%
    Buyer's Guide
    Apache Airflow vs. TIBCO ActiveMatrix BPM
    April 2024
    Find out what your peers are saying about Apache Airflow vs. TIBCO ActiveMatrix BPM 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 TIBCO ActiveMatrix BPM is ranked 31st in Business Process Management (BPM) with 6 reviews. Apache Airflow is rated 8.0, while TIBCO ActiveMatrix BPM is rated 7.4. 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 TIBCO ActiveMatrix BPM writes "A tool backed by stellar support that has helped me plan workflows easily". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and AWS Step Functions, whereas TIBCO ActiveMatrix BPM is most compared with Camunda, Pega BPM, TIBCO iProcess Suite and IBM BPM. See our Apache Airflow vs. TIBCO ActiveMatrix BPM 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.