Apache Airflow vs Red Hat Polymita Business Suite comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
13,927 views|10,035 comparisons
96% willing to recommend
Red Hat Logo
187 views|161 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Airflow and Red Hat Polymita Business Suite based on real PeerSpot user reviews.

Find out what your peers are saying about Camunda, Apache, Pega and others in Business Process Management (BPM).
To learn more, read our detailed Business Process Management (BPM) Report (Updated: March 2024).
768,886 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 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.""The solution's UI allows me to collect all the information and see the code lines.""The user interface for monitoring and managing workflows has been excellent, particularly in the latest version. c""The solution is quite configurable so it is easy to code within a configuration kind of environment.""Every feature in Apache Airflow is valuable. The number of operators and features I've used are mainly related to connectivity services and integrated services because I primarily work with GCP.""Since it's widely adopted by the community, Apache Airflow is a user-friendly solution.""The initial setup was straightforward and it does not take long to complete.""Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion."

More Apache Airflow Pros →

"The main factor that separates Red Hat software from Oracle, IBM, Pegasystems, is the ability that it gives you to design the screens outside the software and connect it as another component with the BPM engine."

More Red Hat Polymita Business Suite Pros →

Cons
"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.""For admins, there should be improved logging capabilities because Apache Airflow does have logging, but it's limited to some database data.""Airflow should support the dynamic drag creation.""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 dashboard is connected into the BPM flow that could be improved.""I would like to see it more friendly for other use cases.""We need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed."

More Apache Airflow Cons →

"I think the documentation for the tool, the official documentation, is not as strong as in other tools. You have lot of community. That is good. But sometimes you need - when you are working on a big client or a critical process - to be certain about certain things. So I think that the documentation for the tool, from the company, could be a little stronger."

More Red Hat Polymita Business Suite Cons →

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 →

  • "Without any discount, you need tools that cost roughly between $80,000 to $100,000. That is less than with IBM. And on top of that you need the consulting. That will be another $200,000. So a quarter to a third of a million dollars is needed to use get started with BPM. So I usually recommend to my clients that they begin with a little project, with the community version. That way they don't spend $200,000 or $300,000, they spend $150,000 and zero on software."
  • More Red Hat Polymita Business Suite Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Business Process Management (BPM) solutions are best for your needs.
    768,886 professionals have used our research since 2012.
    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.
    Ask a question

    Earn 20 points

    Ranking
    Views
    13,927
    Comparisons
    10,035
    Reviews
    20
    Average Words per Review
    491
    Rating
    8.0
    Views
    187
    Comparisons
    161
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Airflow
    Polymita Business Suite
    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.”

    Red Hat JBoss BPM Suite combines business process management (BPM), business rules management (BRM), business resource planning, and complex event processing (CEP) technologies into a single, integrated, open source platform. JBoss BPM Suite lets project stakeholders collaborate to build business automation solutions with a choice of modeling tools. This includes a web-based authoring environment for business experts and an Eclipse plug-in for developers. A rich set of tools for process and decision management covers the full process life cycle - from modeling, simulation, and testing to deployment, monitoring, and optimization. Process and decision logic can be modeled and automated together, without the need to learn multiple tools or develop custom integrations between disparate environments.
    Sample Customers
    Agari, WePay, Astronomer
    Bayer, Grupo Televisa, RCBC, Peavey
    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%
    No Data Available
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    No Data Available
    Buyer's Guide
    Business Process Management (BPM)
    March 2024
    Find out what your peers are saying about Camunda, Apache, Pega and others in Business Process Management (BPM). Updated: March 2024.
    768,886 professionals have used our research since 2012.

    Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while Red Hat Polymita Business Suite is ranked 50th in Business Process Management (BPM). Apache Airflow is rated 8.0, while Red Hat Polymita Business Suite is rated 10.0. 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 Red Hat Polymita Business Suite writes "Gives you the ability to design the screens outside the software and connect them as a component with the BPM engine". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and AWS Step Functions, whereas Red Hat Polymita Business Suite is most compared with .

    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.