Bizagi and Apache Airflow are both in the realm of process management and orchestration. Bizagi appears to have an edge in user-friendliness and rapid deployment, while Apache Airflow is favored for its strong workflow automation capabilities.
Features: Bizagi provides extensive business process automation tools, supports BPMN 2.0, and ensures rapid deployment, making it a popular choice for businesses seeking ease of modeling and automation. Apache Airflow, on the other hand, integrates well with Python, has strong community support, and offers robust capabilities for automation and orchestration.
Room for Improvement: Bizagi could enhance its stability, export/import functionalities, and licensing terms. Users have expressed concerns about diagram alignments and Visio export requirements. Apache Airflow stands to improve by refining its user interface, adding workflow visualization support, and enhancing documentation, scalability, and versioning to better handle complex workflows.
Ease of Deployment and Customer Service: Bizagi primarily supports on-premises deployment with some public cloud capabilities and generally responsive, though variable, technical support. Apache Airflow offers flexibility in deployment across cloud and on-premises environments, with good community-driven support, although user feedback on response quality varies.
Pricing and ROI: Bizagi has a freemium model with perceived costly licensing, and users appreciate its quick time-to-market advantages. Apache Airflow, being open-source, is cost-effective requiring payments only for operational infrastructure, making it attractive for scalable solutions while efficiently managing costs.
Forums and community resources like Stack Overflow are helpful.
There is enough documentation available, and the community support is good.
The toolset is very intuitive, so we didn’t need to contact their support much.
We cannot expect major customer support.
The solution is very scalable.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
I would rate its stability at nine out of ten.
I would rate the stability of the solution as ten out of ten.
Apache Airflow is stable and I have not experienced significant issues.
It is not suitable for real-time ETL tasks.
The start date in Apache Airflow is also confusing because it is not straightforward. If you want it to start today, you should give tomorrow's date.
If we desire to add custom messengers or a rest API, those options are unavailable.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
Reporting capabilities can be improved more, and community support should be increased.
It is a sub-feature and not an individual purchase.
I prefer using the open-source version rather than the enterprise version, which helps manage costs.
Apache Airflow is a community-based platform and is not a licensed product.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
Apache Airflow is an open-source platform that allows easy integration with AWS, Azure, and Google Cloud Platform.
Reliability is good, and when integrated with Kubernetes, it performs better compared to on-premises environments.
We can create notifications for successful or failed tasks, providing a practical way to monitor our workflows.
It is open source.
The user interface is very good, making it easy for business people to understand.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
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.”
Bizagi’s industry-leading low-code process automation platform connects people, applications, robots, and information. As the most business-friendly and flexible solution on the market, Bizagi enables true collaboration between business and IT, delivering faster adoption and success. Fuelled by a community of 1 million users, Bizagi powers over 1,000 organizations worldwide including Adidas, BAE Systems, and Old Mutual. For more information visit www.bizagi.com
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