WorkflowGen and Apache Airflow compete in workflow automation and orchestration, with Apache Airflow leading due to its robust features which outweigh WorkflowGen's pricing and support advantages.
Features: WorkflowGen integrates seamlessly with existing systems and offers user-friendly process modeling and efficient management interfaces. Apache Airflow provides powerful scheduling, advanced pipeline management, and scalability suitable for complex workflows.
Ease of Deployment and Customer Service: WorkflowGen provides straightforward deployment with dedicated support, making setup faster due to its intuitive design. Apache Airflow's open-source flexibility translates to a steeper learning curve and requires in-depth technical configurations, resulting in slower deployment but greater customization potential.
Pricing and ROI: WorkflowGen presents a cost-effective solution with a clear licensing model resulting in steady ROI. While Apache Airflow is open-source and has low initial cost, it may incur indirect expenses for development. Despite costs, Airflow offers high ROI for tasks needing sophisticated data processing.
| Product | Market Share (%) |
|---|---|
| Apache Airflow | 5.7% |
| WorkflowGen | 0.4% |
| Other | 93.9% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 3 |
| Large Enterprise | 24 |
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:
Apache Airflow Benefits
There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:
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.
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.
