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Apache Airflow vs WorkflowGen comparison

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16,228 views|10,823 comparisons
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539 views|396 comparisons
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Pricing and Cost Advice
  • "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."
  • More Apache Airflow 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 a great orchestration and automation tool. Its connectivity with other systems is a great plus point. The interactive UI, the options for scheduling and the very fact that its… more »
    Top Answer:I've used it at past companies to build a data warehouse for analytics (populating redshift/snowflake). My current company is using it for similar purposes but more to pull data from data sources… more »
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    Ranking
    Views
    16,228
    Comparisons
    10,823
    Reviews
    6
    Average Words per Review
    549
    Rating
    8.0
    Views
    539
    Comparisons
    396
    Reviews
    0
    Average Words per Review
    0
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    Also Known As
    Airflow
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    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.”

    Immediately accelerate business process adaptability with fluid workflow automation. Use the WorkflowGen .NET workflow software's low code environment to maximize the efficiency of process designers and developers.

    Automate any type of human and system-based enterprise process within a battle-tested infrastructure.

    Customize and integrate your workflow apps to meet your requirements in a highly configurable environment.

    Engage process participants with a full-featured workflow portal, native mobile apps, and email approvals, or through seamless integration with your own web apps.

    Leverage a solution used by Fortune 500 companies for worldwide business-critical applications.

    Offer
    Learn more about Apache Airflow
    Learn more about WorkflowGen
    Sample Customers
    Agari, WePay, Astronomer
    Comcast, Deloitte, Mitsui & Co Ltd, Sanofi Pasteur, Textron, XL Group. WorkflowGen accelerates business process adaptability in 70 countries for 500+ organizations and 1,000,000 users.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider17%
    Financial Services Firm13%
    Media Company9%
    VISITORS READING REVIEWS
    Computer Software Company36%
    Comms Service Provider14%
    Financial Services Firm7%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business56%
    Midsize Enterprise11%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise14%
    Large Enterprise61%
    Buyer's Guide
    Business Process Management (BPM)
    June 2022
    Find out what your peers are saying about Camunda, Software AG, Pega and others in Business Process Management (BPM). Updated: June 2022.
    609,272 professionals have used our research since 2012.

    Apache Airflow is ranked 8th in Business Process Management (BPM) with 6 reviews while WorkflowGen is ranked 43rd in Business Process Management (BPM). Apache Airflow is rated 8.0, while WorkflowGen is rated 0.0. The top reviewer of Apache Airflow writes "Integrates well with other pipelines and builds different processes well but the scalability needs improvement". On the other hand, Apache Airflow is most compared with Camunda Platform, Amazon Step Functions, IBM Business Automation Workflow, IBM BPM and Informatica Business Process Manager, whereas WorkflowGen is most compared with Micro Focus Operations Orchestration, KiSSFLOW, Oracle Application Express (APEX) and ARIS BPA.

    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.